Project Information¶

Project Team: PTID-CDS-DEC-25-3482¶

Project Name: PRCP-1011 — BloodDonaPRED¶

Business Case¶

Blood donation plays a critical role in saving lives during surgeries, medical treatments, emergencies, and accidents. However, one of the major challenges faced by blood banks is maintaining a consistent and reliable blood supply.

Most blood centers rely heavily on voluntary donors, but not all donors return after their first donation. While some individuals become regular donors, many never donate again. Reaching out to all past donors can be time-consuming, costly, and inefficient. A smarter approach would be to identify those most likely to donate again.

This is the focus of our project.

We are working with a real dataset from a blood donation center, containing information on 576 donors. For each donor, we have data on:

  • Time since their last donation
  • Total number of donations made
  • Total volume of blood donated
  • Time since their first donation
  • Whether they donated in March 2007

Our objective is to build a predictive model that can determine the likelihood of a donor giving blood again. If successful, the model could help blood banks:

  • Target communications to donors most likely to return
  • Reduce outreach costs by avoiding unnecessary messages
  • Optimize planning for donation drives and staffing
  • Focus efforts on nurturing long-term donor relationships

In essence, this project transforms donor data into actionable insights that can help blood centers operate more efficiently. More importantly, it supports a greater social mission — ensuring that life-saving blood is available when it’s needed most.

Domain Analysis: Blood Donation and Data Use¶

Blood donation is a vital component of the healthcare system, playing a key role in patient care, emergency response, and medical procedures. By leveraging data to better understand donor behavior, organizations can enhance their planning efforts and encourage consistent, repeat donations.

This project falls within the healthcare domain, where data science is used to address real-world challenges — in this case, identifying and retaining loyal blood donors to ensure a stable blood supply.

In [4]:
# Importing the pandas library for handling dataframes and CSV files
import numpy as np # Importing numpy for numerical operations (like arrays, calculations)
import pandas as pd 
import matplotlib.pyplot as plt # Importing matplotlib to create custom graphs and visualizations
import seaborn as sns # Importing seaborn for beautiful and easy statistical plots
# This line suppresses warning messages in the output.
# It helps keep the notebook clean and avoids potential distractions during execution.
import warnings
warnings.filterwarnings('ignore')
In [5]:
df=pd.read_csv('Warm_Up_Predict_Blood_Donations_-_Traning_Data.csv') # reading csv file 
df
Out[5]:
Unnamed: 0 Months since Last Donation Number of Donations Total Volume Donated (c.c.) Months since First Donation Made Donation in March 2007
0 619 2 50 12500 98 1
1 664 0 13 3250 28 1
2 441 1 16 4000 35 1
3 160 2 20 5000 45 1
4 358 1 24 6000 77 0
... ... ... ... ... ... ...
571 698 23 1 250 23 0
572 433 16 3 750 86 0
573 360 21 2 500 52 0
574 541 39 1 250 39 0
575 74 72 1 250 72 0

576 rows × 6 columns

What the Columns Mean:¶

Column Name What It Tells Us
Months since Last Donation Number of months since the donor's most recent donation
Number of Donations Total number of donations made by the individual
Total Volume Donated (c.c.) Total volume of blood donated in milliliters (250 ml per donation)
Months since First Donation Number of months since the donor's first recorded donation
Made Donation in March 2007 Indicates whether the donor gave blood in March 2007 (1 = Yes, 0 = No)

Why These Features Matter:¶

  • Donors who gave blood recently may be more likely to donate again soon.
  • A higher number of past donations often indicates a regular or loyal donor.
  • The total volume of blood donated is closely related to the donation count, so it may be redundant and considered for removal later.
  • The last column shows whether a person donated in March 2007 — this is the target variable we aim to predict.

How This Data Can Help:¶

  • Target likely donors: Focus outreach efforts on individuals who are most likely to donate again, reducing time and cost.
  • Improve planning: Allocate staff and resources more effectively by identifying areas or times with higher donation potential.
  • Strengthen donor loyalty: Recognize and reward frequent donors to encourage continued participation and long-term commitment.

Basic Checks¶

In [10]:
df.head()
Out[10]:
Unnamed: 0 Months since Last Donation Number of Donations Total Volume Donated (c.c.) Months since First Donation Made Donation in March 2007
0 619 2 50 12500 98 1
1 664 0 13 3250 28 1
2 441 1 16 4000 35 1
3 160 2 20 5000 45 1
4 358 1 24 6000 77 0
In [11]:
df.tail()
Out[11]:
Unnamed: 0 Months since Last Donation Number of Donations Total Volume Donated (c.c.) Months since First Donation Made Donation in March 2007
571 698 23 1 250 23 0
572 433 16 3 750 86 0
573 360 21 2 500 52 0
574 541 39 1 250 39 0
575 74 72 1 250 72 0
In [12]:
df.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 576 entries, 0 to 575
Data columns (total 6 columns):
 #   Column                       Non-Null Count  Dtype
---  ------                       --------------  -----
 0   Unnamed: 0                   576 non-null    int64
 1   Months since Last Donation   576 non-null    int64
 2   Number of Donations          576 non-null    int64
 3   Total Volume Donated (c.c.)  576 non-null    int64
 4   Months since First Donation  576 non-null    int64
 5   Made Donation in March 2007  576 non-null    int64
dtypes: int64(6)
memory usage: 27.1 KB
In [13]:
df.describe()
Out[13]:
Unnamed: 0 Months since Last Donation Number of Donations Total Volume Donated (c.c.) Months since First Donation Made Donation in March 2007
count 576.000000 576.000000 576.000000 576.000000 576.000000 576.000000
mean 374.034722 9.439236 5.427083 1356.770833 34.050347 0.239583
std 216.947773 8.175454 5.740010 1435.002556 24.227672 0.427200
min 0.000000 0.000000 1.000000 250.000000 2.000000 0.000000
25% 183.750000 2.000000 2.000000 500.000000 16.000000 0.000000
50% 375.500000 7.000000 4.000000 1000.000000 28.000000 0.000000
75% 562.500000 14.000000 7.000000 1750.000000 49.250000 0.000000
max 747.000000 74.000000 50.000000 12500.000000 98.000000 1.000000
In [14]:
df.shape
Out[14]:
(576, 6)
In [15]:
df.drop('Unnamed: 0',axis=1,inplace=True) # task no.1 delect Unnames colums form data
In [16]:
df.shape
Out[16]:
(576, 5)
In [17]:
df['Made Donation in March 2007'].value_counts()
Out[17]:
Made Donation in March 2007
0    438
1    138
Name: count, dtype: int64
In [18]:
for i in df.columns:
    print(f'\n Value Counts {i}')
    print(df[i].value_counts())
    print(i)

 Value Counts Months since Last Donation
Months since Last Donation
2     140
4     115
11     60
14     60
16     48
21     37
23     36
9      17
3      10
1       9
7       5
12      5
8       5
0       4
13      4
6       4
10      3
5       2
18      2
22      1
26      1
35      1
74      1
15      1
20      1
17      1
25      1
39      1
72      1
Name: count, dtype: int64
Months since Last Donation

 Value Counts Number of Donations
Number of Donations
1     118
2      85
3      68
5      53
4      49
6      42
7      32
8      27
9      20
11     16
10     11
12      9
16      8
14      8
13      7
17      4
15      3
19      2
22      2
24      2
20      2
46      1
50      1
18      1
38      1
43      1
44      1
21      1
33      1
Name: count, dtype: int64
Number of Donations

 Value Counts Total Volume Donated (c.c.)
Total Volume Donated (c.c.)
250      118
500       85
750       68
1250      53
1000      49
1500      42
1750      32
2000      27
2250      20
2750      16
2500      11
3000       9
4000       8
3500       8
3250       7
4250       4
3750       3
4750       2
5500       2
6000       2
5000       2
11500      1
12500      1
4500       1
9500       1
10750      1
11000      1
5250       1
8250       1
Name: count, dtype: int64
Total Volume Donated (c.c.)

 Value Counts Months since First Donation
Months since First Donation
16    42
4     39
14    34
2     31
28    29
      ..
55     1
3      1
13     1
54     1
31     1
Name: count, Length: 75, dtype: int64
Months since First Donation

 Value Counts Made Donation in March 2007
Made Donation in March 2007
0    438
1    138
Name: count, dtype: int64
Made Donation in March 2007
In [19]:
df.isnull().sum()
Out[19]:
Months since Last Donation     0
Number of Donations            0
Total Volume Donated (c.c.)    0
Months since First Donation    0
Made Donation in March 2007    0
dtype: int64

EDA :- Explority Data Analyisis¶

Univariate Analysis¶

In [22]:
# Set plot style
sns.set(style="whitegrid")
plt.figure(figsize=(20, 25)) # plotting using matplotlib

num = 1

for i in df:
    plt.subplot(3,3,num) # plotting using matplotlib
    if num <= 16:
        sns.histplot(data=df[i], kde=True, color='skyblue')
        if df[i].nunique() <= 10:
            sns.countplot(data=df,x=i, palette='viridis') # plot the distribution of the target variable # count plot for class distribution
        plt.title(f'Distribution of {i}') # plotting using matplotlib
        plt.xlabel(i) # plotting using matplotlib
        plt.ylabel('Count') # plotting using matplotlib
    num += 1
    
plt.tight_layout() # plotting using matplotlib
plt.show() # plotting using matplotlib
No description has been provided for this image

Bivariate Analysis¶

In [24]:
# doing Bivarient analysis , using "subplot" for 2 feature comparison 
plt.figure(figsize=(20,35),facecolor='white')
plot =1
for i in df:
    for j in df:
        if plot<=30:
            plt.subplot(10,3,plot)
            plt.title(f'{i} vs {j}')
            sns.scatterplot(x=i,y=j,data=df)
            plt.xticks(rotation=45)
            plot+=1
plt.tight_layout()
No description has been provided for this image

multivarient analysis¶

In [26]:
sns.pairplot(df,hue="Made Donation in March 2007")
Out[26]:
<seaborn.axisgrid.PairGrid at 0x29b30653f40>
No description has been provided for this image

Applying HeatMap to check the correlation between features¶

In [28]:
plt.figure(figsize=(20,12))
sns.heatmap(df.corr(),annot=True,annot_kws={'size':30},cmap='coolwarm')
plt.show() # displays the final heatmap.
No description has been provided for this image

Here we can see that column name Number of Donations and Total Volume Donated (c.c.) have same correlation with output feature, so we drop any one on them¶

In [30]:
df.drop('Total Volume Donated (c.c.)',axis=1,inplace=True)
In [31]:
num_col=['Months since Last Donation','Number of Donations','Months since First Donation']

Check for outliers in data`¶

In [33]:
plt.figure(figsize=(20,10))
plot=1
for i in df[num_col]:
    if plot<=6:
        plt.subplot(3,3,plot)
        sns.boxplot(x=df[i],data=df)
        plt.xlabel(i,fontsize=15)
    plot+=1
plt.tight_layout()
plt.show()
No description has been provided for this image
In [34]:
# Remove Outliers for data
for i in df[num_col]:  # Loop through each numerical column in the DataFrame
    q1 = df[i].quantile(0.25)  # Calculate the 25th percentile (Q1)
    q3 = df[i].quantile(0.75)  # Calculate the 75th percentile (Q3)
    iqr = q3 - q1              # Compute the Interquartile Range (IQR)

    lower = q1 - 1.5 * iqr     # Define the lower bound for outliers
    upper = q3 + 1.5 * iqr     # Define the upper bound for outliers

    # Replace values that are below the lower bound or above the upper bound with the column's median
    df.loc[(df[i] < lower) | (df[i] > upper), i] = df[i].median()

Checking Boxplot after Removing Outliers¶

In [36]:
plt.figure(figsize=(20,10))
plot=1
for i in df[num_col]:
    if plot<=6:
        plt.subplot(3,3,plot)
        sns.boxplot(x=df[i],data=df)
        plt.xlabel(i,fontsize=15)
    plot+=1
plt.tight_layout()
plt.show()
No description has been provided for this image
In [37]:
from sklearn.preprocessing import StandardScaler

sc = StandardScaler()  # Create an instance of StandardScaler to normalize numerical data

for i in df[num_col]:  
    # This loop is intended to scale each numerical column individually, but the implementation is incorrect.
    # Inside the loop, it keeps scaling the entire df[num_col] repeatedly, which is redundant and inefficient.

    df[num_col] = sc.fit_transform(df[num_col])

Spliting the Data into X and Y¶

In [39]:
# Separate the features (independent variables) and the target (dependent variable)
x = df.drop('Made Donation in March 2007', axis=1)  
y = df['Made Donation in March 2007']               

from sklearn.model_selection import train_test_split

# Split the data into training and testing sets
x_train, x_test, y_train, y_test = train_test_split(
    x, y,                 # Input features and target
    test_size=0.2,        # 20% of the data will be used for testing, 80% for training
    random_state=33       # Ensures reproducibility of the split (same split every time the code runs)
)
In [40]:
!pip install imbalanced-learn

Requirement already satisfied: imbalanced-learn in d:\users\excel\anaconda3\lib\site-packages (0.12.3)
Requirement already satisfied: numpy>=1.17.3 in d:\users\excel\anaconda3\lib\site-packages (from imbalanced-learn) (1.26.4)
Requirement already satisfied: scipy>=1.5.0 in d:\users\excel\anaconda3\lib\site-packages (from imbalanced-learn) (1.13.1)
Requirement already satisfied: scikit-learn>=1.0.2 in d:\users\excel\anaconda3\lib\site-packages (from imbalanced-learn) (1.4.2)
Requirement already satisfied: joblib>=1.1.1 in d:\users\excel\anaconda3\lib\site-packages (from imbalanced-learn) (1.4.2)
Requirement already satisfied: threadpoolctl>=2.0.0 in d:\users\excel\anaconda3\lib\site-packages (from imbalanced-learn) (2.2.0)
In [54]:
from imblearn.over_sampling import SMOTE

sm = SMOTE()  # Create an instance of the SMOTE (Synthetic Minority Over-sampling Technique) class

# Apply SMOTE to the training data to balance the class distribution
sm_x_train, sm_y_train = sm.fit_resample(x_train, y_train)
In [55]:
from collections import Counter  # Import Counter to count the number of instances in each class

# Print class distribution before applying SMOTE
print("Before Apply SMOTE->>>> ", Counter(y_train))  
# This shows how many samples belong to each class in the original training set

# Print class distribution after applying SMOTE
print("After Apply SMOTE->>>> ", Counter(sm_y_train))  

Before Apply SMOTE->>>>  Counter({0: 345, 1: 115})
After Apply SMOTE->>>>  Counter({0: 345, 1: 345})

Create A Multipal Model One After One¶

1. Logistic regression¶

In [58]:
from sklearn.linear_model import LogisticRegression  # Import the Logistic Regression model from scikit-learn

lg = LogisticRegression()  # Create an instance of the Logistic Regression classifier

lg.fit(sm_x_train, sm_y_train)  # Train (fit) the model using the balanced training data from SMOTE
Out[58]:
LogisticRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
Parameters
penalty  'l2'
dual  False
tol  0.0001
C  1.0
fit_intercept  True
intercept_scaling  1
class_weight  None
random_state  None
solver  'lbfgs'
max_iter  100
multi_class  'deprecated'
verbose  0
warm_start  False
n_jobs  None
l1_ratio  None
In [59]:
from sklearn.metrics import classification_report # Import a function to generate a detailed classification performance summary

Testing Accuracy of Logistic Classification¶

In [61]:
y_lg_pre=lg.predict(x_test)
print(f'Testing Accuracy',classification_report(y_test,y_lg_pre))

Testing Accuracy               precision    recall  f1-score   support

           0       0.94      0.55      0.69        93
           1       0.32      0.87      0.47        23

    accuracy                           0.61       116
   macro avg       0.63      0.71      0.58       116
weighted avg       0.82      0.61      0.65       116

Training Accuracy of Logistic Classification¶

In [63]:
y_lg_predict=lg.predict(x_train)
print(f'Testing Accuracy',classification_report(y_train,y_lg_predict))

Testing Accuracy               precision    recall  f1-score   support

           0       0.86      0.56      0.68       345
           1       0.36      0.74      0.48       115

    accuracy                           0.60       460
   macro avg       0.61      0.65      0.58       460
weighted avg       0.74      0.60      0.63       460

2. SVM :- Support Vector MAchine¶

In [66]:
from sklearn.svm import SVC  # Import the Support Vector Classifier (SVC) from scikit-learn

svc = SVC()  # Create an instance of the SVC model with default hyperparameters

svc.fit(sm_x_train, sm_y_train)  # Train (fit) the SVC model using the balanced training data from SMOTE
Out[66]:
SVC()
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Parameters
C  1.0
kernel  'rbf'
degree  3
gamma  'scale'
coef0  0.0
shrinking  True
probability  False
tol  0.001
cache_size  200
class_weight  None
verbose  False
max_iter  -1
decision_function_shape  'ovr'
break_ties  False
random_state  None

Testing Accuracy Of SVC¶

In [68]:
svc_y_pre=svc.predict(x_test)
print(f'Testing Accuracy',classification_report(y_test,svc_y_pre))

Testing Accuracy               precision    recall  f1-score   support

           0       0.89      0.71      0.79        93
           1       0.36      0.65      0.46        23

    accuracy                           0.70       116
   macro avg       0.62      0.68      0.63       116
weighted avg       0.79      0.70      0.73       116

Training Accuracy of SVC¶

In [70]:
svc_y_predict=svc.predict(x_train)
print(f'Testing Accuracy',classification_report(y_train,svc_y_predict))

Testing Accuracy               precision    recall  f1-score   support

           0       0.87      0.77      0.82       345
           1       0.49      0.64      0.55       115

    accuracy                           0.74       460
   macro avg       0.68      0.71      0.69       460
weighted avg       0.77      0.74      0.75       460

Hyper Parameters of SVC¶

In [72]:
hyper_parameters = {
    'C': [0.1, 0.01, 1, 10, 100],  
    # Regularization parameter.
    # Lower values of C make the margin wider but allow more misclassifications (high bias, low variance).
    # Higher values aim to classify all training examples correctly (low bias, high variance).

    'kernel': ['linear', 'poly', 'rbf', 'sigmoid'],  
    # Specifies the kernel type to be used in the algorithm:
    # - 'linear': good for linearly separable data
    # - 'poly': polynomial kernel (useful for capturing interactions)
    # - 'rbf': radial basis function, good default choice
    # - 'sigmoid': behaves like a neural network activation function

    'gamma': ['scale', 'auto']  
    # Kernel coefficient for 'rbf', 'poly', and 'sigmoid':
    # - 'scale': uses 1 / (n_features * X.var()) — recommended default
    # - 'auto': uses 1 / n_features — may underperform in some cases
}
In [82]:
from sklearn.model_selection import GridSearchCV  # Import GridSearchCV for exhaustive hyperparameter tuning

# Set up GridSearchCV to find the best combination of hyperparameters for the SVC model
svc_cv = GridSearchCV(
    svc,                   # The base SVC model
    hyper_parameters,      # The hyperparameter grid to search over
    refit=True,            # Once the best parameters are found, refit the model on the entire training set
    n_jobs=1,              # Number of CPU cores to use (1 means no parallel processing)
    verbose=3,             # Controls the level of detail in logging (3 = detailed messages)
    cv=3,                  # Use 3-fold cross-validation for evaluating each parameter combination
    scoring='f1'           # Optimize for F1-score (useful when dealing with imbalanced classes)
)

svc_cv.fit(sm_x_train, sm_y_train)  # Fit the model with the training data using the specified grid search

Fitting 3 folds for each of 40 candidates, totalling 120 fits
[CV 1/3] END .C=0.1, gamma=scale, kernel=linear;, score=0.701 total time=   0.0s
[CV 2/3] END .C=0.1, gamma=scale, kernel=linear;, score=0.680 total time=   0.0s
[CV 3/3] END .C=0.1, gamma=scale, kernel=linear;, score=0.661 total time=   0.0s
[CV 1/3] END ...C=0.1, gamma=scale, kernel=poly;, score=0.675 total time=   0.0s
[CV 2/3] END ...C=0.1, gamma=scale, kernel=poly;, score=0.708 total time=   0.0s
[CV 3/3] END ...C=0.1, gamma=scale, kernel=poly;, score=0.682 total time=   0.0s
[CV 1/3] END ....C=0.1, gamma=scale, kernel=rbf;, score=0.700 total time=   0.0s
[CV 2/3] END ....C=0.1, gamma=scale, kernel=rbf;, score=0.646 total time=   0.0s
[CV 3/3] END ....C=0.1, gamma=scale, kernel=rbf;, score=0.634 total time=   0.0s
[CV 1/3] END C=0.1, gamma=scale, kernel=sigmoid;, score=0.709 total time=   0.0s
[CV 2/3] END C=0.1, gamma=scale, kernel=sigmoid;, score=0.682 total time=   0.0s
[CV 3/3] END C=0.1, gamma=scale, kernel=sigmoid;, score=0.629 total time=   0.0s
[CV 1/3] END ..C=0.1, gamma=auto, kernel=linear;, score=0.701 total time=   0.0s
[CV 2/3] END ..C=0.1, gamma=auto, kernel=linear;, score=0.680 total time=   0.0s
[CV 3/3] END ..C=0.1, gamma=auto, kernel=linear;, score=0.661 total time=   0.0s
[CV 1/3] END ....C=0.1, gamma=auto, kernel=poly;, score=0.675 total time=   0.0s
[CV 2/3] END ....C=0.1, gamma=auto, kernel=poly;, score=0.694 total time=   0.0s
[CV 3/3] END ....C=0.1, gamma=auto, kernel=poly;, score=0.686 total time=   0.0s
[CV 1/3] END .....C=0.1, gamma=auto, kernel=rbf;, score=0.700 total time=   0.0s
[CV 2/3] END .....C=0.1, gamma=auto, kernel=rbf;, score=0.646 total time=   0.0s
[CV 3/3] END .....C=0.1, gamma=auto, kernel=rbf;, score=0.634 total time=   0.0s
[CV 1/3] END .C=0.1, gamma=auto, kernel=sigmoid;, score=0.709 total time=   0.0s
[CV 2/3] END .C=0.1, gamma=auto, kernel=sigmoid;, score=0.680 total time=   0.0s
[CV 3/3] END .C=0.1, gamma=auto, kernel=sigmoid;, score=0.629 total time=   0.0s
[CV 1/3] END C=0.01, gamma=scale, kernel=linear;, score=0.712 total time=   0.0s
[CV 2/3] END C=0.01, gamma=scale, kernel=linear;, score=0.677 total time=   0.0s
[CV 3/3] END C=0.01, gamma=scale, kernel=linear;, score=0.659 total time=   0.0s
[CV 1/3] END ..C=0.01, gamma=scale, kernel=poly;, score=0.673 total time=   0.0s
[CV 2/3] END ..C=0.01, gamma=scale, kernel=poly;, score=0.301 total time=   0.0s
[CV 3/3] END ..C=0.01, gamma=scale, kernel=poly;, score=0.676 total time=   0.0s
[CV 1/3] END ...C=0.01, gamma=scale, kernel=rbf;, score=0.692 total time=   0.0s
[CV 2/3] END ...C=0.01, gamma=scale, kernel=rbf;, score=0.658 total time=   0.0s
[CV 3/3] END ...C=0.01, gamma=scale, kernel=rbf;, score=0.669 total time=   0.0s
[CV 1/3] END C=0.01, gamma=scale, kernel=sigmoid;, score=0.712 total time=   0.0s
[CV 2/3] END C=0.01, gamma=scale, kernel=sigmoid;, score=0.707 total time=   0.0s
[CV 3/3] END C=0.01, gamma=scale, kernel=sigmoid;, score=0.687 total time=   0.0s
[CV 1/3] END .C=0.01, gamma=auto, kernel=linear;, score=0.712 total time=   0.0s
[CV 2/3] END .C=0.01, gamma=auto, kernel=linear;, score=0.677 total time=   0.0s
[CV 3/3] END .C=0.01, gamma=auto, kernel=linear;, score=0.659 total time=   0.0s
[CV 1/3] END ...C=0.01, gamma=auto, kernel=poly;, score=0.675 total time=   0.0s
[CV 2/3] END ...C=0.01, gamma=auto, kernel=poly;, score=0.301 total time=   0.0s
[CV 3/3] END ...C=0.01, gamma=auto, kernel=poly;, score=0.676 total time=   0.0s
[CV 1/3] END ....C=0.01, gamma=auto, kernel=rbf;, score=0.692 total time=   0.0s
[CV 2/3] END ....C=0.01, gamma=auto, kernel=rbf;, score=0.653 total time=   0.0s
[CV 3/3] END ....C=0.01, gamma=auto, kernel=rbf;, score=0.667 total time=   0.0s
[CV 1/3] END C=0.01, gamma=auto, kernel=sigmoid;, score=0.712 total time=   0.0s
[CV 2/3] END C=0.01, gamma=auto, kernel=sigmoid;, score=0.707 total time=   0.0s
[CV 3/3] END C=0.01, gamma=auto, kernel=sigmoid;, score=0.687 total time=   0.0s
[CV 1/3] END ...C=1, gamma=scale, kernel=linear;, score=0.706 total time=   0.0s
[CV 2/3] END ...C=1, gamma=scale, kernel=linear;, score=0.680 total time=   0.0s
[CV 3/3] END ...C=1, gamma=scale, kernel=linear;, score=0.664 total time=   0.0s
[CV 1/3] END .....C=1, gamma=scale, kernel=poly;, score=0.689 total time=   0.0s
[CV 2/3] END .....C=1, gamma=scale, kernel=poly;, score=0.571 total time=   0.0s
[CV 3/3] END .....C=1, gamma=scale, kernel=poly;, score=0.701 total time=   0.0s
[CV 1/3] END ......C=1, gamma=scale, kernel=rbf;, score=0.713 total time=   0.0s
[CV 2/3] END ......C=1, gamma=scale, kernel=rbf;, score=0.602 total time=   0.0s
[CV 3/3] END ......C=1, gamma=scale, kernel=rbf;, score=0.613 total time=   0.0s
[CV 1/3] END ..C=1, gamma=scale, kernel=sigmoid;, score=0.563 total time=   0.0s
[CV 2/3] END ..C=1, gamma=scale, kernel=sigmoid;, score=0.588 total time=   0.0s
[CV 3/3] END ..C=1, gamma=scale, kernel=sigmoid;, score=0.629 total time=   0.0s
[CV 1/3] END ....C=1, gamma=auto, kernel=linear;, score=0.706 total time=   0.0s
[CV 2/3] END ....C=1, gamma=auto, kernel=linear;, score=0.680 total time=   0.0s
[CV 3/3] END ....C=1, gamma=auto, kernel=linear;, score=0.664 total time=   0.0s
[CV 1/3] END ......C=1, gamma=auto, kernel=poly;, score=0.693 total time=   0.0s
[CV 2/3] END ......C=1, gamma=auto, kernel=poly;, score=0.557 total time=   0.0s
[CV 3/3] END ......C=1, gamma=auto, kernel=poly;, score=0.716 total time=   0.0s
[CV 1/3] END .......C=1, gamma=auto, kernel=rbf;, score=0.708 total time=   0.0s
[CV 2/3] END .......C=1, gamma=auto, kernel=rbf;, score=0.602 total time=   0.0s
[CV 3/3] END .......C=1, gamma=auto, kernel=rbf;, score=0.613 total time=   0.0s
[CV 1/3] END ...C=1, gamma=auto, kernel=sigmoid;, score=0.563 total time=   0.0s
[CV 2/3] END ...C=1, gamma=auto, kernel=sigmoid;, score=0.603 total time=   0.0s
[CV 3/3] END ...C=1, gamma=auto, kernel=sigmoid;, score=0.629 total time=   0.0s
[CV 1/3] END ..C=10, gamma=scale, kernel=linear;, score=0.706 total time=   0.0s
[CV 2/3] END ..C=10, gamma=scale, kernel=linear;, score=0.680 total time=   0.0s
[CV 3/3] END ..C=10, gamma=scale, kernel=linear;, score=0.664 total time=   0.0s
[CV 1/3] END ....C=10, gamma=scale, kernel=poly;, score=0.721 total time=   0.0s
[CV 2/3] END ....C=10, gamma=scale, kernel=poly;, score=0.548 total time=   0.0s
[CV 3/3] END ....C=10, gamma=scale, kernel=poly;, score=0.667 total time=   0.0s
[CV 1/3] END .....C=10, gamma=scale, kernel=rbf;, score=0.703 total time=   0.0s
[CV 2/3] END .....C=10, gamma=scale, kernel=rbf;, score=0.645 total time=   0.0s
[CV 3/3] END .....C=10, gamma=scale, kernel=rbf;, score=0.710 total time=   0.0s
[CV 1/3] END .C=10, gamma=scale, kernel=sigmoid;, score=0.569 total time=   0.0s
[CV 2/3] END .C=10, gamma=scale, kernel=sigmoid;, score=0.556 total time=   0.0s
[CV 3/3] END .C=10, gamma=scale, kernel=sigmoid;, score=0.583 total time=   0.0s
[CV 1/3] END ...C=10, gamma=auto, kernel=linear;, score=0.706 total time=   0.0s
[CV 2/3] END ...C=10, gamma=auto, kernel=linear;, score=0.680 total time=   0.0s
[CV 3/3] END ...C=10, gamma=auto, kernel=linear;, score=0.664 total time=   0.0s
[CV 1/3] END .....C=10, gamma=auto, kernel=poly;, score=0.721 total time=   0.0s
[CV 2/3] END .....C=10, gamma=auto, kernel=poly;, score=0.556 total time=   0.0s
[CV 3/3] END .....C=10, gamma=auto, kernel=poly;, score=0.667 total time=   0.0s
[CV 1/3] END ......C=10, gamma=auto, kernel=rbf;, score=0.700 total time=   0.0s
[CV 2/3] END ......C=10, gamma=auto, kernel=rbf;, score=0.645 total time=   0.0s
[CV 3/3] END ......C=10, gamma=auto, kernel=rbf;, score=0.710 total time=   0.0s
[CV 1/3] END ..C=10, gamma=auto, kernel=sigmoid;, score=0.569 total time=   0.0s
[CV 2/3] END ..C=10, gamma=auto, kernel=sigmoid;, score=0.552 total time=   0.0s
[CV 3/3] END ..C=10, gamma=auto, kernel=sigmoid;, score=0.589 total time=   0.0s
[CV 1/3] END .C=100, gamma=scale, kernel=linear;, score=0.706 total time=   0.0s
[CV 2/3] END .C=100, gamma=scale, kernel=linear;, score=0.680 total time=   0.0s
[CV 3/3] END .C=100, gamma=scale, kernel=linear;, score=0.664 total time=   0.0s
[CV 1/3] END ...C=100, gamma=scale, kernel=poly;, score=0.708 total time=   0.0s
[CV 2/3] END ...C=100, gamma=scale, kernel=poly;, score=0.527 total time=   0.0s
[CV 3/3] END ...C=100, gamma=scale, kernel=poly;, score=0.664 total time=   0.0s
[CV 1/3] END ....C=100, gamma=scale, kernel=rbf;, score=0.719 total time=   0.0s
[CV 2/3] END ....C=100, gamma=scale, kernel=rbf;, score=0.713 total time=   0.0s
[CV 3/3] END ....C=100, gamma=scale, kernel=rbf;, score=0.708 total time=   0.0s
[CV 1/3] END C=100, gamma=scale, kernel=sigmoid;, score=0.566 total time=   0.0s
[CV 2/3] END C=100, gamma=scale, kernel=sigmoid;, score=0.566 total time=   0.0s
[CV 3/3] END C=100, gamma=scale, kernel=sigmoid;, score=0.587 total time=   0.0s
[CV 1/3] END ..C=100, gamma=auto, kernel=linear;, score=0.706 total time=   0.0s
[CV 2/3] END ..C=100, gamma=auto, kernel=linear;, score=0.680 total time=   0.0s
[CV 3/3] END ..C=100, gamma=auto, kernel=linear;, score=0.664 total time=   0.0s
[CV 1/3] END ....C=100, gamma=auto, kernel=poly;, score=0.708 total time=   0.0s
[CV 2/3] END ....C=100, gamma=auto, kernel=poly;, score=0.527 total time=   0.0s
[CV 3/3] END ....C=100, gamma=auto, kernel=poly;, score=0.664 total time=   0.0s
[CV 1/3] END .....C=100, gamma=auto, kernel=rbf;, score=0.719 total time=   0.0s
[CV 2/3] END .....C=100, gamma=auto, kernel=rbf;, score=0.713 total time=   0.0s
[CV 3/3] END .....C=100, gamma=auto, kernel=rbf;, score=0.708 total time=   0.0s
[CV 1/3] END .C=100, gamma=auto, kernel=sigmoid;, score=0.554 total time=   0.0s
[CV 2/3] END .C=100, gamma=auto, kernel=sigmoid;, score=0.549 total time=   0.0s
[CV 3/3] END .C=100, gamma=auto, kernel=sigmoid;, score=0.587 total time=   0.0s
Out[82]:
GridSearchCV(cv=3, estimator=SVC(), n_jobs=1,
             param_grid={'C': [0.1, 0.01, 1, 10, 100],
                         'gamma': ['scale', 'auto'],
                         'kernel': ['linear', 'poly', 'rbf', 'sigmoid']},
             scoring='f1', verbose=3)
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Parameters
estimator  SVC()
param_grid  {'C': [0.1, 0.01, ...], 'gamma': ['scale', 'auto'], 'kernel': ['linear', 'poly', ...]}
scoring  'f1'
n_jobs  1
refit  True
cv  3
verbose  3
pre_dispatch  '2*n_jobs'
error_score  nan
return_train_score  False 
SVC(C=100)
Parameters
C  100
kernel  'rbf'
degree  3
gamma  'scale'
coef0  0.0
shrinking  True
probability  False
tol  0.001
cache_size  200
class_weight  None
verbose  False
max_iter  -1
decision_function_shape  'ovr'
break_ties  False
random_state  None
In [83]:
svc_cv.best_params_ # Printing Best parameters
Out[83]:
{'C': 100, 'gamma': 'scale', 'kernel': 'rbf'}
In [97]:
svc1=SVC(C=100,gamma='scale',kernel='rbf')
svc1.fit(sm_x_train,sm_y_train)
Out[97]:
SVC(C=100)
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Parameters
C  100
kernel  'rbf'
degree  3
gamma  'scale'
coef0  0.0
shrinking  True
probability  False
tol  0.001
cache_size  200
class_weight  None
verbose  False
max_iter  -1
decision_function_shape  'ovr'
break_ties  False
random_state  None

Testing Accuracy of SVC After Hyper Parameters`¶

In [100]:
y_svc1_pre=svc1.predict(x_test)
print(f'Training Accuracy',classification_report(y_test,y_svc1_pre))

Training Accuracy               precision    recall  f1-score   support

           0       0.86      0.61      0.72        93
           1       0.28      0.61      0.38        23

    accuracy                           0.61       116
   macro avg       0.57      0.61      0.55       116
weighted avg       0.75      0.61      0.65       116

Training Accuracy of SVC After Hyper Parameters¶

In [103]:
y_svc1_predict=svc1.predict(x_train)
print(f'Training Accuracy',classification_report(y_train,y_svc1_predict))

Training Accuracy               precision    recall  f1-score   support

           0       0.91      0.74      0.81       345
           1       0.50      0.78      0.61       115

    accuracy                           0.75       460
   macro avg       0.70      0.76      0.71       460
weighted avg       0.81      0.75      0.76       460

3.Decision Tree¶

In [106]:
from sklearn.tree import DecisionTreeClassifier  # Import the Decision Tree Classifier from scikit-learn

dt = DecisionTreeClassifier(class_weight='balanced')  
# Create an instance of the Decision Tree Classifier
# 'class_weight="balanced"' automatically adjusts weights inversely proportional to class frequencies,
# which helps handle class imbalance (even though SMOTE is already applied, this adds extra robustness)

dt.fit(sm_x_train, sm_y_train)
Out[106]:
DecisionTreeClassifier(class_weight='balanced')
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Parameters
criterion  'gini'
splitter  'best'
max_depth  None
min_samples_split  2
min_samples_leaf  1
min_weight_fraction_leaf  0.0
max_features  None
random_state  None
max_leaf_nodes  None
min_impurity_decrease  0.0
class_weight  'balanced'
ccp_alpha  0.0
monotonic_cst  None

TESTING ACCURACY OF DECISION TREE¶

In [109]:
y_dt_pre=dt.predict(x_test)
print(f'Testing Accuracy',classification_report(y_test,y_dt_pre))

Testing Accuracy               precision    recall  f1-score   support

           0       0.80      0.74      0.77        93
           1       0.20      0.26      0.23        23

    accuracy                           0.65       116
   macro avg       0.50      0.50      0.50       116
weighted avg       0.68      0.65      0.66       116

Training Accuracy DECISION TREE¶

In [112]:
y_dt_predict=dt.predict(x_train)
print(f'Training Accuracy',classification_report(y_train,y_dt_predict))

Training Accuracy               precision    recall  f1-score   support

           0       0.95      0.98      0.97       345
           1       0.94      0.85      0.89       115

    accuracy                           0.95       460
   macro avg       0.95      0.92      0.93       460
weighted avg       0.95      0.95      0.95       460

Hyper Parameter of Decision Tree¶

In [115]:
dt_hyper = {
    'criterion': ('gini', 'entropy'),  
    # The function to measure the quality of a split:
    # - 'gini': Gini impurity (default)
    # - 'entropy': Information gain (based on entropy)

    'splitter': ('best', 'random'),  
    # The strategy used to split at each node:
    # - 'best': chooses the best split
    # - 'random': chooses the best random split (can help avoid overfitting)

    'max_depth': list(range(1, 10)),  
    # Maximum depth of the tree.
    # Smaller depths prevent overfitting but may underfit; 

    'min_samples_split': [2, 3, 4, 5, 10],  
    # The minimum number of samples required to split an internal node.
    # Higher values reduce tree growth and may generalize better.

    'min_samples_leaf': list(range(2, 20))  
    # The minimum number of samples required to be at a leaf node.
    # Helps prevent overfitting by requiring more data at each leaf.
}
In [117]:
from sklearn.model_selection import GridSearchCV
In [119]:
dt_cv=GridSearchCV(dt,dt_hyper,refit=True,scoring='f1',verbose=3,cv=3,n_jobs=1)
# Fitting the model using the SMOTE-balanced training data
dt_cv.fit(sm_x_train,sm_y_train)

Fitting 3 folds for each of 3240 candidates, totalling 9720 fits
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.610 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.437 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.126 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.537 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.286 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.193 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.641 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.524 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.329 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.232 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.230 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.637 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.000 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.701 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.633 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.546 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.098 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.513 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.671 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.701 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.610 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.385 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.526 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.473 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.673 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.081 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.560 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.385 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.674 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.112 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.513 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.635 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.534 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.673 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.230 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.622 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.141 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.230 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.551 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.710 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.582 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.221 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.560 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.574 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.439 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.266 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.216 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.671 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.503 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.671 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.567 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.000 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.000 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.671 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.519 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.710 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.671 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.497 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.524 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.420 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.671 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.513 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.673 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.647 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.610 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.168 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.088 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.654 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.216 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.710 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=1, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.701 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.636 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.621 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.648 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.562 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.592 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.641 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.607 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.654 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.725 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.581 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.589 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.701 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.673 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.708 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.701 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.702 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.610 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.696 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.429 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.586 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.473 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.633 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.607 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.537 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.590 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.582 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.683 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.655 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.607 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.489 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.651 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.609 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.623 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.626 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.643 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.671 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.659 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.574 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.461 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.720 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.612 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.629 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.523 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.593 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.579 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.610 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.699 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.560 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.637 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.681 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.708 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.596 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.615 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.659 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.671 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.646 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.624 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.603 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.349 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.636 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.420 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=2, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.594 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.492 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.529 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.610 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.427 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.716 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.568 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.621 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.631 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.696 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.639 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.641 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.725 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.621 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.643 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.585 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.676 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.720 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.630 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.575 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.587 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.703 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.546 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.505 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.600 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.701 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.601 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.637 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.593 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.618 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.719 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.610 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.500 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.597 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.619 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.676 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.503 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.638 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.638 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.628 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.708 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.637 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.591 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.577 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.519 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.633 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.644 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.687 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.614 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.617 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.412 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.636 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.500 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.627 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.624 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.632 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.705 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.615 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.641 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.722 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.615 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.624 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.674 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.628 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.554 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.640 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.637 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.612 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.624 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.628 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.592 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.603 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.625 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.674 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.662 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.582 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.638 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.583 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.640 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.618 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.641 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.655 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.708 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.690 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.698 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.649 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.502 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.641 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.571 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.645 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.625 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.582 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.643 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.701 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.474 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.637 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.602 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.519 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.653 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.698 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.702 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.640 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.617 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.638 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.656 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.000 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.719 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.615 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.563 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.699 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.510 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.593 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.644 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.625 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.735 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=3, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.512 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.710 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.512 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.647 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.561 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.512 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.512 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.512 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.674 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.512 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.576 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.604 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.512 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.616 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.512 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.697 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.722 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.512 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.705 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.636 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.512 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.603 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.578 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.682 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.585 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.652 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.631 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.718 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.634 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.592 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.611 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.638 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.585 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.639 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.653 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.713 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.674 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.657 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.632 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.626 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.699 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.673 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.624 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.653 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.595 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.654 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.676 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.637 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.605 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.575 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.638 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.614 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.581 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.578 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.596 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.600 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.635 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.647 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.541 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.654 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.614 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.649 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.632 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.653 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.633 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.608 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.639 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.603 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.690 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.558 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.632 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.611 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.635 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.603 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.591 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.634 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.715 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.615 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.715 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.590 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.543 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.696 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.594 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.585 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.642 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.674 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.610 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.635 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.611 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.600 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.689 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.649 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.639 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.611 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.486 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.600 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.632 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.647 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.722 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.633 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.617 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.639 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.637 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.682 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.587 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.619 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.682 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.616 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.617 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=4, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.696 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.728 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.556 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.618 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.726 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.720 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.697 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.651 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.693 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.697 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.631 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.697 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.721 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.697 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.642 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.697 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.598 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.717 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.623 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.634 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.673 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.637 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.644 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.577 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.615 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.728 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.582 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.690 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.708 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.550 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.604 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.620 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.619 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.711 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.721 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.682 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.718 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.582 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.716 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.687 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.651 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.627 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.715 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.000 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.629 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.581 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.629 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.560 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.629 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.629 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.629 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.725 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.653 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.699 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.634 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.582 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.585 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.614 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.643 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.716 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.531 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.626 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.627 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.632 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.719 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.631 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.629 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.620 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.611 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.554 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.726 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.604 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.636 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.609 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.702 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.600 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.639 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.641 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.692 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.647 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.635 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.634 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.647 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.564 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.540 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.637 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.630 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.628 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.620 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.713 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.603 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.637 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.701 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.653 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.632 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.681 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.662 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.590 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.523 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.711 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.604 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.618 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.692 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.632 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.626 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.715 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.724 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.638 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.652 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=5, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.749 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.731 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.749 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.743 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.576 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.613 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.749 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.603 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.642 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.753 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.617 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.737 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.643 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.732 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.600 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.703 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.732 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.651 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.674 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.732 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.718 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.732 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.732 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.550 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.657 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.712 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.630 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.732 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.687 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.716 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.576 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.697 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.696 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.647 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.657 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.635 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.585 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.704 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.561 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.704 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.704 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.582 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.632 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.704 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.540 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.617 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.704 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.561 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.730 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.561 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.600 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.603 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.561 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.561 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.641 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.720 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.561 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.696 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.682 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.561 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.615 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.660 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.561 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.641 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.561 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.561 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.603 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.561 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.645 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.671 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.673 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.705 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.674 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.642 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.692 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.706 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.566 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.550 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.709 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.545 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.697 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.674 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.604 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.612 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.632 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.701 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.551 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.580 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.651 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.615 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.606 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.619 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.660 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.619 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.549 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.697 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.696 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.519 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.632 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.712 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.631 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.654 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.621 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.626 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.596 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.642 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.615 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.663 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.682 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.682 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.637 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.641 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.605 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.585 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.627 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.619 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.706 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.000 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.610 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.629 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.637 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.597 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.601 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.705 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.601 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.711 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.601 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.654 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.601 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.651 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.635 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.601 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=6, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.774 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.728 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.767 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.569 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.708 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.594 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.777 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.654 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.764 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.697 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.774 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.712 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.754 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.742 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.742 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.632 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.742 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.744 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.718 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.742 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.655 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.745 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.742 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.594 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.654 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.725 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.489 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.659 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.736 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.697 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.728 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.489 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.626 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.535 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.622 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.535 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.724 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.535 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.724 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.735 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.535 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.708 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.535 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.711 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.663 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.687 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.597 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.687 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.687 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.687 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.647 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.607 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.657 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.687 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.523 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.636 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.624 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.636 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.641 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.625 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.714 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.655 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.681 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.628 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.625 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.622 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.713 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.699 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.649 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.624 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.651 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.622 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.713 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.533 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.651 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.657 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.582 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.603 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.636 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.631 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.690 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.677 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.583 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.633 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.647 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.701 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.600 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.596 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.615 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.644 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.648 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.624 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.621 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.608 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.576 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.652 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.578 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.615 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.648 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.612 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.648 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.634 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.654 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.618 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.643 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.653 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.651 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.645 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.619 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.690 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.628 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.593 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.697 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.615 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.703 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.631 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.605 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.621 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.603 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.651 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.648 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.644 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.612 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.622 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.659 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.624 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.627 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.641 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.653 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.610 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.693 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.600 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=7, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.491 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.762 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.682 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.777 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.491 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.762 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.709 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.491 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.765 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.682 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.491 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.765 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.760 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.733 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.473 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.774 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.649 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.473 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.746 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.682 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.732 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.473 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.746 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.645 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.706 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.473 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.746 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.473 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.746 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.683 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.454 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.751 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.676 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.642 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.447 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.704 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.728 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.442 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.690 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.703 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.447 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.704 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.654 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.442 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.699 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.746 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.444 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.702 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.696 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.554 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.722 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.621 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.730 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.554 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.733 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.577 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.699 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.554 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.733 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.752 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.554 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.722 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.554 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.733 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.610 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.593 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.593 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.715 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.727 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.593 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.618 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.593 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.646 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.725 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.593 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.641 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.567 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.720 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.627 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.567 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.703 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.624 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.633 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.567 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.720 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.567 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.720 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.673 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.567 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.720 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.567 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.639 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.567 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.713 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.567 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.575 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.736 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.567 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.567 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.548 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.730 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.699 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.699 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.548 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.730 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.548 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.730 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.597 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.548 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.730 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.608 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.727 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.548 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.730 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.578 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.719 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.578 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.622 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.715 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.681 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.578 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.647 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.578 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.676 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.646 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.578 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.648 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.525 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.726 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.638 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.718 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.525 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.636 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.525 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.729 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.525 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.721 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.603 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.646 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.525 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.507 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.538 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.633 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.619 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.538 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.525 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.627 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.598 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.626 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.525 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.538 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.642 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.676 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.648 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.642 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.648 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.642 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.634 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.560 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.642 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.722 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.687 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.642 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.610 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.687 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.610 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.639 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.641 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.591 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.591 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.602 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.591 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.643 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.558 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.591 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.597 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.638 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.591 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.725 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.681 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.610 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.653 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.629 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.612 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.593 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.000 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.611 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.709 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.522 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.560 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.642 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.653 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.639 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.611 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.696 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.648 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.629 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.564 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.539 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.632 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.626 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.649 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.602 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.599 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=8, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.634 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.764 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.730 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.618 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.759 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.725 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.643 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.648 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.720 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.767 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.725 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.648 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.758 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.727 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.738 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.726 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.442 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.780 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.723 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.663 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.706 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.716 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.442 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.696 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.732 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.442 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.720 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.699 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.642 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.442 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.711 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.442 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.717 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.733 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.422 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.728 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.709 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.725 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.410 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.723 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.621 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.410 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.410 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.548 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.719 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.417 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.725 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.654 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.414 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.643 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.730 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.709 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.591 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.697 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.704 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.709 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.701 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.709 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.615 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.653 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.701 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.579 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.716 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.657 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.637 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.616 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.579 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.682 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.616 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.702 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.682 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.609 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.609 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.619 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.642 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.609 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.725 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.609 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.734 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.562 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.746 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.595 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.618 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.657 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.595 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.655 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.677 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.721 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.595 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.701 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.637 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.632 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.595 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.595 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.708 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.581 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.730 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.615 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.581 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.730 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.723 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.581 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.730 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.645 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.581 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.730 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.581 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.730 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.708 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.567 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.710 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.589 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.604 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.609 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.648 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.713 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.635 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.687 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.644 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.635 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.576 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.676 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.619 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.627 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.631 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.631 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.631 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.630 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.631 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.648 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.631 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.601 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.633 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.656 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.613 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.620 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.706 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.644 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.662 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.690 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.591 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.714 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.591 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.627 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.591 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.591 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.591 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.715 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.615 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.633 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.621 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.706 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.640 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.617 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.520 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.630 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.571 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.585 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.625 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.630 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.659 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.726 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.582 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.646 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.712 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.723 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.654 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.624 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.570 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.652 total time=   0.0s
[CV 2/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=gini, max_depth=9, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.674 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.126 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.521 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.050 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.662 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.581 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.624 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.671 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.638 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.126 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.671 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.589 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.710 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.671 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.710 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.654 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.150 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.710 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.631 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.230 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.447 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.629 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.438 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.536 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.641 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.614 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.385 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.481 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.447 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.671 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.617 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.168 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.505 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.641 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.708 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.582 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.671 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.671 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.635 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.582 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.632 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.228 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.216 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.640 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.637 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.671 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.671 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.438 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.564 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.193 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.534 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.589 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.168 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.708 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.671 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.701 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.447 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.671 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.428 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.710 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.567 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.634 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.671 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.534 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.456 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.436 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.560 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.673 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.230 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.631 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.624 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.558 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.671 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.141 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.560 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.671 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.438 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.560 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=1, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.585 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.638 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.701 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.635 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.605 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.617 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.478 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.674 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.530 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.627 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.593 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.659 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.582 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.655 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.659 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.671 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.618 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.534 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.616 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.636 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.722 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.659 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.538 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.674 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.621 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.648 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.648 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.662 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.651 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.495 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.593 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.671 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.697 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.722 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.359 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.585 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.699 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.643 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.648 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.674 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.589 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.464 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.654 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.492 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.513 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.542 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.639 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.625 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.641 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.308 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.641 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.514 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.600 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.662 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.624 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.402 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.621 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.698 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.456 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.585 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.624 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.649 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.629 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.657 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.615 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.706 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.641 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.615 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.644 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.619 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.637 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.503 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.671 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.331 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.554 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.634 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.653 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=2, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.596 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.517 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.607 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.610 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.628 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.600 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.701 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.618 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.534 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.656 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.533 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.639 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.716 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.708 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.632 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.619 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.632 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.648 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.622 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.632 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.585 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.637 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.585 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.659 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.596 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.567 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.722 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.622 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.713 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.632 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.702 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.541 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.654 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.654 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.593 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.586 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.608 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.677 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.434 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.644 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.615 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.570 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.617 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.630 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.604 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.643 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.699 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.505 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.654 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.579 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.610 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.498 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.697 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.701 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.637 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.443 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.640 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.592 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.640 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.647 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.654 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.646 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.657 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.585 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.646 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.613 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.636 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.701 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.615 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.516 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.495 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.705 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.531 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.713 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.630 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.614 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.593 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.610 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.699 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.687 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.706 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.642 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.562 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.579 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.594 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.725 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.621 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.636 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.708 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.528 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=3, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.697 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.651 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.655 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.564 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.702 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.701 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.583 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.617 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.701 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.715 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.602 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.701 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.639 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.701 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.636 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.701 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.621 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.654 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.711 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.701 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.659 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.715 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.702 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.681 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.646 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.604 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.614 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.601 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.634 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.606 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.581 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.558 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.628 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.648 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.708 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.509 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.689 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.629 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.660 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.698 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.612 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.615 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.612 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.595 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.513 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.634 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.585 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.639 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.640 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.652 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.604 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.608 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.711 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.585 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.626 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.649 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.632 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.662 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.637 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.692 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.626 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.654 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.610 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.536 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.534 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.538 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.674 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.581 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.638 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.673 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.724 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.657 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.590 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.632 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.620 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.600 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.607 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.616 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.618 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.570 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.603 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.562 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.682 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.640 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.619 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.662 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.702 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.717 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.640 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.705 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.709 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.722 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.590 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.716 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.619 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.729 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.619 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.696 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.689 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.599 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.703 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.541 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.612 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.582 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.638 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.627 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.659 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.698 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.592 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.635 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.648 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.612 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.596 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.636 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.722 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.596 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.617 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.627 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.722 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.590 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.470 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.567 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.470 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.705 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.470 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.580 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.621 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.638 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.470 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.635 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.470 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=4, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.633 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.647 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.601 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.682 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.736 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.624 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.715 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.705 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.715 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.715 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.715 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.715 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.682 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.615 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.622 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.617 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.696 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.612 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.626 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.559 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.720 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.718 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.653 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.698 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.709 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.636 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.565 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.599 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.657 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.599 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.687 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.648 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.701 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.549 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.699 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.659 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.545 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.621 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.652 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.642 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.588 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.000 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.606 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.674 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.719 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.722 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.654 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.712 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.600 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.689 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.609 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.604 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.615 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.605 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.505 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.595 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.717 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.611 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.515 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.701 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.703 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.622 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.624 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.568 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.577 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.605 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.610 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.682 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.711 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.622 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.564 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.594 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.621 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.607 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.718 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.642 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.591 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.721 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.574 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.699 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.556 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.651 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.626 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.588 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.587 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.659 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.636 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.577 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.701 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.660 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.659 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.677 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.640 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.632 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.628 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.595 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.708 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.638 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.717 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.635 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.705 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.552 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.617 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.626 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.631 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.536 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.676 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.536 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.676 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.660 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.536 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.569 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.536 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.611 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.615 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.634 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.536 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.637 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=5, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.508 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.774 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.508 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.774 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.719 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.508 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.774 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.713 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.508 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.774 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.682 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.749 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.508 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.785 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.540 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.508 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.764 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.641 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.508 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.764 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.692 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.508 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.764 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.508 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.764 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.711 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.593 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.508 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.764 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.689 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.728 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.500 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.732 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.535 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.529 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.500 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.673 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.500 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.732 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.500 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.500 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.611 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.683 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.732 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.595 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.563 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.738 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.653 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.556 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.618 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.732 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.656 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.651 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.649 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.702 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.659 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.648 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.699 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.642 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.583 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.576 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.634 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.718 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.696 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.640 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.636 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.641 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.638 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.693 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.635 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.737 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.632 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.737 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.737 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.619 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.737 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.702 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.642 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.723 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.516 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.737 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.580 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.634 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.625 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.751 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.556 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.704 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.639 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.487 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.715 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.721 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.697 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.577 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.628 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.606 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.696 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.603 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.693 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.638 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.585 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.657 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.723 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.701 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.561 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.637 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.685 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.648 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.597 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.515 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.590 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.724 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.641 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.699 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.629 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.558 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.588 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.541 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.611 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.541 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.722 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.541 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.615 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.541 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.562 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.680 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.541 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.603 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.625 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.541 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.636 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.541 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.697 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.630 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.541 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.541 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.578 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.630 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.541 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.749 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.637 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.687 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.682 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.000 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.615 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.705 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.696 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.000 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.589 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.687 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.545 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.562 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.627 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.713 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.632 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.630 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.590 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.644 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.620 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.719 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.605 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.648 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.479 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.469 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.689 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.632 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.469 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.674 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.595 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.469 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.469 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.604 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.639 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.469 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.605 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=6, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.780 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.569 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.754 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.780 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.726 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.745 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.713 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.512 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.780 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.758 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.511 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.780 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.698 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.508 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.793 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.720 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.766 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.710 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.766 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.724 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.500 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.766 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.688 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.653 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.500 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.766 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.712 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.637 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.508 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.766 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.534 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.491 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.740 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.747 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.589 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.491 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.747 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.740 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.651 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.500 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.747 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.643 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.740 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.464 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.624 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.740 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.607 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.641 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.740 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.647 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.740 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.566 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.740 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.595 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.709 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.739 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.718 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.739 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.745 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.616 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.745 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.637 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.745 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.564 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.710 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.696 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.756 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.663 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.597 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.699 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.724 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.630 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.728 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.651 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.728 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.592 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.728 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.604 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.728 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.585 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.624 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.728 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.633 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.644 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.646 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.677 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.644 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.609 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.644 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.621 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.701 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.644 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.651 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.723 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.644 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.625 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.655 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.510 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.633 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.631 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.712 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.640 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.591 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.628 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.585 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.616 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.712 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.552 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.640 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.535 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.643 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.687 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.728 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.626 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.619 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.651 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.619 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.692 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.632 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.610 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.637 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.696 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.582 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.644 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.563 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.634 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.522 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.556 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.545 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.687 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.663 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.626 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.659 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.614 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.689 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.639 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.566 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.646 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.620 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.624 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.641 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.585 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.636 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.475 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.708 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.554 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.623 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.588 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.628 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.638 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.676 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.676 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.621 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.690 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.697 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.639 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.688 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.612 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.619 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.654 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.641 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.650 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.547 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.483 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.610 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.631 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=7, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.500 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.767 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.703 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.736 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.748 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.723 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.763 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.642 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.500 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.763 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.515 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.730 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.500 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.767 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.663 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.486 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.780 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.765 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.733 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.752 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.679 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.752 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.676 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.749 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.714 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.629 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.752 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.663 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.612 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.486 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.749 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.699 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.480 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.696 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.480 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.604 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.736 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.733 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.476 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.692 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.701 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.740 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.476 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.624 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.603 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.477 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.471 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.704 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.713 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.471 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.704 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.471 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.713 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.471 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.741 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.471 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.697 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.471 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.748 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.591 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.471 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.748 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.535 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.673 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.471 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.754 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.698 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.471 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.748 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.595 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.681 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.471 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.748 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.682 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.608 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.727 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.574 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.642 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.630 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.682 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.727 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.655 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.729 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.716 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.451 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.524 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.682 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.639 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.645 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.727 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.647 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.660 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.611 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.631 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.637 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.611 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.611 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.631 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.611 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.485 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.630 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.611 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.701 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.611 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.627 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.611 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.593 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.590 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.611 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.611 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.634 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.611 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.565 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.512 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.716 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.565 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.600 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.627 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.565 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.565 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.630 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.636 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.592 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.565 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.549 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.578 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.708 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.703 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.549 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.606 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.549 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.632 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.549 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.549 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.549 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.696 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.619 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.549 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.621 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.549 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.549 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.549 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.632 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.638 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.690 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.564 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.611 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.640 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.657 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.689 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.631 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.637 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.639 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.656 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.593 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.700 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.664 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.732 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.618 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.633 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.639 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.649 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.621 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.709 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.545 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.663 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.669 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.699 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.608 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.640 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.596 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.653 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.680 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.652 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.693 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.521 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.610 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.693 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.702 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.623 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.694 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.626 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.643 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.627 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.686 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.513 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.557 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=8, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.488 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.769 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=2, splitter=best;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.706 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=2, splitter=random;, score=0.661 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.503 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.776 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.715 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.741 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=3, splitter=random;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.482 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.772 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.716 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.660 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=4, splitter=random;, score=0.759 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.773 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=5, splitter=random;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.489 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.783 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=10, splitter=best;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.714 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.685 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=2, min_samples_split=10, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.517 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.756 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=2, splitter=best;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.636 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.747 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=2, splitter=random;, score=0.724 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.515 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.759 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=3, splitter=best;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.710 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.517 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.759 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=4, splitter=best;, score=0.679 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.586 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.701 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=4, splitter=random;, score=0.732 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.515 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.756 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=5, splitter=best;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.704 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=5, splitter=random;, score=0.746 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.506 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.759 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=10, splitter=best;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.679 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.702 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=3, min_samples_split=10, splitter=random;, score=0.755 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.729 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=2, splitter=best;, score=0.685 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.687 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=2, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.729 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=3, splitter=best;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.669 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.695 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=3, splitter=random;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=4, splitter=best;, score=0.688 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.646 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.682 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=4, splitter=random;, score=0.741 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=5, splitter=best;, score=0.691 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.657 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.725 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=5, splitter=random;, score=0.724 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.497 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.729 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=10, splitter=best;, score=0.702 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.703 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=4, min_samples_split=10, splitter=random;, score=0.704 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.492 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=2, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.680 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.692 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=2, splitter=random;, score=0.728 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.492 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=3, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.634 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.706 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=3, splitter=random;, score=0.699 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.492 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=4, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.742 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=4, splitter=random;, score=0.627 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.492 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=5, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.695 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.697 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=5, splitter=random;, score=0.692 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.492 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=10, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.725 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=5, min_samples_split=10, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.737 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=2, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.531 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.717 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=2, splitter=random;, score=0.701 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.737 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=3, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.617 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.686 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=3, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.744 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=4, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.623 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=4, splitter=random;, score=0.713 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.737 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=5, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.730 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=5, splitter=random;, score=0.694 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.494 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.744 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=10, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.650 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=6, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.458 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=2, splitter=best;, score=0.736 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.739 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.638 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=2, splitter=random;, score=0.577 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.458 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=3, splitter=best;, score=0.719 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.703 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=3, splitter=random;, score=0.645 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.458 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.727 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=4, splitter=best;, score=0.736 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.697 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.663 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=4, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.458 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=5, splitter=best;, score=0.719 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.630 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=5, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.458 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.721 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=10, splitter=best;, score=0.736 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.676 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=7, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.458 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.653 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=2, splitter=random;, score=0.649 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.458 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.633 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=3, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.458 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=4, splitter=best;, score=0.727 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.594 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.696 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=4, splitter=random;, score=0.653 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.458 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=5, splitter=random;, score=0.676 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.458 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.733 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=10, splitter=best;, score=0.727 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.706 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.657 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=8, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.588 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=2, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.588 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=3, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.596 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=3, splitter=random;, score=0.729 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.588 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=4, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.632 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.705 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=4, splitter=random;, score=0.705 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.588 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=5, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.683 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.673 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=5, splitter=random;, score=0.644 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.588 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.712 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=10, splitter=best;, score=0.731 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.641 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=9, min_samples_split=10, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=2, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.564 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=2, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=3, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.633 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=4, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.637 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.626 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=5, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.713 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.718 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=10, splitter=best;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.639 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.677 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=10, min_samples_split=10, splitter=random;, score=0.698 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=2, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.631 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.648 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=2, splitter=random;, score=0.581 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=3, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.629 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=3, splitter=random;, score=0.647 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=4, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.681 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=5, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.701 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.629 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=10, splitter=best;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=11, min_samples_split=10, splitter=random;, score=0.726 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.586 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=2, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.734 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.626 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=2, splitter=random;, score=0.640 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.586 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=3, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.712 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.610 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=3, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.586 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=4, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=4, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.586 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=5, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.670 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=5, splitter=random;, score=0.658 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.586 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.709 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=10, splitter=best;, score=0.715 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.658 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.645 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=12, min_samples_split=10, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.571 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=2, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.692 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.643 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=2, splitter=random;, score=0.697 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.571 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=3, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=3, splitter=random;, score=0.635 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.571 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=4, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.667 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.684 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=4, splitter=random;, score=0.643 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.571 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=5, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=5, splitter=random;, score=0.690 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.571 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=10, splitter=best;, score=0.710 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.675 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.608 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=13, min_samples_split=10, splitter=random;, score=0.672 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.571 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=2, splitter=random;, score=0.689 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.571 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.691 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=3, splitter=random;, score=0.711 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.571 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.579 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.664 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=4, splitter=random;, score=0.695 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.571 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.579 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.636 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=5, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.571 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.698 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.646 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=14, min_samples_split=10, splitter=random;, score=0.632 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.647 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=2, splitter=random;, score=0.628 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.677 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.641 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=3, splitter=random;, score=0.684 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.672 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=4, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.520 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.655 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=5, splitter=random;, score=0.669 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.719 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.579 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=15, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.566 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.690 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.633 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=2, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.566 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.637 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.661 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=3, splitter=random;, score=0.673 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.566 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.621 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.593 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=4, splitter=random;, score=0.647 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.566 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.706 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.652 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=5, splitter=random;, score=0.589 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.566 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.713 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.700 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.636 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=16, min_samples_split=10, splitter=random;, score=0.646 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.674 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=2, splitter=random;, score=0.652 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.692 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.648 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=3, splitter=random;, score=0.644 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.689 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.689 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=4, splitter=random;, score=0.626 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.534 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.677 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=5, splitter=random;, score=0.667 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.697 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.605 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=17, min_samples_split=10, splitter=random;, score=0.625 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.573 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.626 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=2, splitter=random;, score=0.610 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.644 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.628 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=3, splitter=random;, score=0.683 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.658 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=4, splitter=random;, score=0.603 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.632 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.675 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=5, splitter=random;, score=0.700 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.544 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.647 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.651 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=18, min_samples_split=10, splitter=random;, score=0.664 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.518 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=2, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.631 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.631 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=2, splitter=random;, score=0.670 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.518 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=3, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.630 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.687 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=3, splitter=random;, score=0.609 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.539 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=4, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.647 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.650 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=4, splitter=random;, score=0.646 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.539 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=5, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.707 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.629 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=5, splitter=random;, score=0.631 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.539 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.707 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=10, splitter=best;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.673 total time=   0.0s
[CV 2/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.678 total time=   0.0s
[CV 3/3] END criterion=entropy, max_depth=9, min_samples_leaf=19, min_samples_split=10, splitter=random;, score=0.670 total time=   0.0s
Out[119]:
GridSearchCV(cv=3, estimator=DecisionTreeClassifier(class_weight='balanced'),
             n_jobs=1,
             param_grid={'criterion': ('gini', 'entropy'),
                         'max_depth': [1, 2, 3, 4, 5, 6, 7, 8, 9],
                         'min_samples_leaf': [2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
                                              12, 13, 14, 15, 16, 17, 18, 19],
                         'min_samples_split': [2, 3, 4, 5, 10],
                         'splitter': ('best', 'random')},
             scoring='f1', verbose=3)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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Parameters
estimator  DecisionTreeC...ht='balanced')
param_grid  {'criterion': ('gini', ...), 'max_depth': [1, 2, ...], 'min_samples_leaf': [2, 3, ...], 'min_samples_split': [2, 3, ...], ...}
scoring  'f1'
n_jobs  1
refit  True
cv  3
verbose  3
pre_dispatch  '2*n_jobs'
error_score  nan
return_train_score  False 
DecisionTreeClassifier(class_weight='balanced', criterion='entropy',
                       max_depth=8, min_samples_leaf=2, splitter='random')
Parameters
criterion  'entropy'
splitter  'random'
max_depth  8
min_samples_split  2
min_samples_leaf  2
min_weight_fraction_leaf  0.0
max_features  None
random_state  None
max_leaf_nodes  None
min_impurity_decrease  0.0
class_weight  'balanced'
ccp_alpha  0.0
monotonic_cst  None
In [120]:
dt_cv.best_params_ # printing the best parameters
Out[120]:
{'criterion': 'entropy',
 'max_depth': 8,
 'min_samples_leaf': 2,
 'min_samples_split': 2,
 'splitter': 'random'}
In [125]:
dt1=DecisionTreeClassifier(max_depth=8,min_samples_leaf=2,min_samples_split=2,criterion='entropy',random_state=25,splitter='random')
In [127]:
dt1.fit(sm_x_train,sm_y_train)
Out[127]:
DecisionTreeClassifier(criterion='entropy', max_depth=8, min_samples_leaf=2,
                       random_state=25, splitter='random')
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Parameters
criterion  'entropy'
splitter  'random'
max_depth  8
min_samples_split  2
min_samples_leaf  2
min_weight_fraction_leaf  0.0
max_features  None
random_state  25
max_leaf_nodes  None
min_impurity_decrease  0.0
class_weight  None
ccp_alpha  0.0
monotonic_cst  None

checking it's accuracy using IT'S BEST PARAMETERS OF TRAINING ACCURACY¶

Testing Accuracy of Decision Tree using its best Parameters¶

In [131]:
y_dt1_hp_pre=dt1.predict(x_test)
print(f'Testing Accuracy',classification_report(y_test,y_dt1_hp_pre))

Testing Accuracy               precision    recall  f1-score   support

           0       0.88      0.72      0.79        93
           1       0.35      0.61      0.44        23

    accuracy                           0.70       116
   macro avg       0.62      0.66      0.62       116
weighted avg       0.78      0.70      0.72       116

Training Accuracy of Decision Tree using its best Parameters¶

In [134]:
y_dt1_hp_predict=dt1.predict(x_train)
print(f'Testing Accuracy',classification_report(y_train,y_dt1_hp_predict))

Testing Accuracy               precision    recall  f1-score   support

           0       0.88      0.80      0.84       345
           1       0.54      0.69      0.60       115

    accuracy                           0.77       460
   macro avg       0.71      0.74      0.72       460
weighted avg       0.80      0.77      0.78       460

4. Random Forest¶

In [137]:
from sklearn.ensemble import RandomForestClassifier  # Import the Random Forest classifier from scikit-learn

rf = RandomForestClassifier()  
# Create an instance of the Random Forest classifier using default hyperparameters
# Random Forest is an ensemble method that builds multiple decision trees and merges them to improve accuracy and reduce overfitting

rf.fit(sm_x_train, sm_y_train)
Out[137]:
RandomForestClassifier()
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Parameters
n_estimators  100
criterion  'gini'
max_depth  None
min_samples_split  2
min_samples_leaf  1
min_weight_fraction_leaf  0.0
max_features  'sqrt'
max_leaf_nodes  None
min_impurity_decrease  0.0
bootstrap  True
oob_score  False
n_jobs  None
random_state  None
verbose  0
warm_start  False
class_weight  None
ccp_alpha  0.0
max_samples  None
monotonic_cst  None

Testing Accuracy of Random Forest¶

In [140]:
y_rf_pre=rf.predict(x_test)
print(classification_report(y_test,y_rf_pre))

              precision    recall  f1-score   support

           0       0.83      0.85      0.84        93
           1       0.33      0.30      0.32        23

    accuracy                           0.74       116
   macro avg       0.58      0.58      0.58       116
weighted avg       0.73      0.74      0.74       116

Training Accuracy of Random Forest¶

In [143]:
y_rf_predict=rf.predict(x_train)
print(classification_report(y_train,y_rf_predict))

              precision    recall  f1-score   support

           0       0.96      0.98      0.97       345
           1       0.93      0.87      0.90       115

    accuracy                           0.95       460
   macro avg       0.94      0.92      0.93       460
weighted avg       0.95      0.95      0.95       460

Hyper parameters of Random Forest¶

In [146]:
rf_hyper = {
    'n_estimators': [int(x) for x in np.linspace(start=200, stop=2000, num=5)],
    # Number of trees in the forest.
    # A higher number generally improves performance but increases training time.
    # This line generates 5 values evenly spaced between 200 and 2000.

    'max_features': ['auto', 'sqrt', 'log2'],
    # Number of features to consider when looking for the best split:
    # - 'auto': uses all features (deprecated, behaves like 'sqrt' in recent versions)
    # - 'sqrt': square root of the total number of features (default for classifiers)
    # - 'log2': log base 2 of the total number of features

    'max_depth': [int(x) for x in np.linspace(10, 110, num=5)],
    # Maximum depth of each tree.
    # Controls how deep the trees can grow; deeper trees can capture more complexity but may overfit.

    'min_samples_split': [5, 10],
    # Minimum number of samples required to split an internal node.
    # Higher values help prevent overfitting by limiting tree growth.

    'min_samples_leaf': [2, 4]
    # Minimum number of samples required to be at a leaf node.
    # Useful to smooth out the model and prevent it from learning noise in the data.
}
In [148]:
from sklearn.model_selection import GridSearchCV  # Import GridSearchCV for hyperparameter tuning
from sklearn.ensemble import RandomForestClassifier  # Import the Random Forest Classifier

rf1 = RandomForestClassifier(random_state=5)  
# Initialize a Random Forest model with a fixed random state for reproducibility

rf1_cv = GridSearchCV(
    estimator=rf1,           # The model to tune
    param_grid=rf_hyper,     # The dictionary of hyperparameters to search over
    verbose=3,               # Controls the amount of logging (3 = detailed output of each step)
    cv=3,                    # 3-fold cross-validation to evaluate each parameter combination
    refit=True,              # After finding the best parameters, refit the model on the full training set
    n_jobs=1,                # Use 1 core for computation (set to -1 for using all cores)
    scoring='f1'             # Use F1-score as the metric for evaluating model performance
)

rf1_cv.fit(sm_x_train, sm_y_train)

Fitting 3 folds for each of 300 candidates, totalling 900 fits
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.646 total time=   0.3s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.805 total time=   0.2s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.765 total time=   0.3s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.642 total time=   1.1s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.805 total time=   1.0s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.777 total time=   1.0s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.638 total time=   2.0s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.805 total time=   1.7s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.777 total time=   1.7s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.638 total time=   2.6s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.805 total time=   2.5s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.777 total time=   2.5s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.638 total time=   3.8s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.805 total time=   3.3s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.777 total time=   3.2s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.628 total time=   0.2s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.817 total time=   0.2s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.751 total time=   0.2s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.624 total time=   0.9s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.809 total time=   1.2s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.773 total time=   0.9s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.632 total time=   1.7s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.814 total time=   1.6s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.770 total time=   1.9s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.628 total time=   2.6s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.814 total time=   2.5s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.770 total time=   2.5s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.628 total time=   3.2s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.814 total time=   3.0s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.753 total time=   2.8s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.663 total time=   0.2s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.782 total time=   0.2s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.762 total time=   0.2s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.663 total time=   0.9s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.775 total time=   0.9s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.767 total time=   0.8s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.656 total time=   1.6s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.772 total time=   1.6s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.767 total time=   1.6s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.656 total time=   2.2s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.775 total time=   2.2s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.767 total time=   2.1s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.656 total time=   3.0s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.775 total time=   2.8s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.767 total time=   2.8s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.650 total time=   0.2s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.772 total time=   0.2s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.753 total time=   0.2s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.660 total time=   0.9s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.772 total time=   1.0s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.762 total time=   0.9s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.646 total time=   1.5s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.769 total time=   1.5s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.762 total time=   1.5s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.646 total time=   2.4s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.772 total time=   2.3s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.762 total time=   2.2s
[CV 1/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.649 total time=   2.9s
[CV 2/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.763 total time=   2.8s
[CV 3/3] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.762 total time=   2.9s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.805 total time=   0.2s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.765 total time=   0.2s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.642 total time=   0.9s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.805 total time=   0.9s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.777 total time=   0.9s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.638 total time=   1.5s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.805 total time=   1.6s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.777 total time=   1.6s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.638 total time=   2.2s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.805 total time=   2.2s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.777 total time=   2.2s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.638 total time=   3.0s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.805 total time=   2.9s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.777 total time=   2.9s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.628 total time=   0.2s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.817 total time=   0.2s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.751 total time=   0.2s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.624 total time=   0.9s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.809 total time=   0.9s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.773 total time=   0.9s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.632 total time=   1.7s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.814 total time=   1.5s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.770 total time=   1.6s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.628 total time=   2.2s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.814 total time=   2.2s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.770 total time=   2.6s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.628 total time=   3.3s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.814 total time=   3.2s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.753 total time=   4.5s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.663 total time=   0.3s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.782 total time=   0.4s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.762 total time=   0.3s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.663 total time=   1.1s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.775 total time=   1.7s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.767 total time=   1.4s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.656 total time=   3.6s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.772 total time=   2.3s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.767 total time=   4.4s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.656 total time=   7.4s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.775 total time=   3.3s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.767 total time=   3.0s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.656 total time=   3.7s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.775 total time=   2.9s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.767 total time=   3.0s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.650 total time=   0.2s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.772 total time=   0.2s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.753 total time=   0.2s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.660 total time=   0.9s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.772 total time=   0.9s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.762 total time=   0.9s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.646 total time=   1.6s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.769 total time=   1.5s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.762 total time=   1.7s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.646 total time=   2.2s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.772 total time=   2.2s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.762 total time=   2.2s
[CV 1/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.649 total time=   3.1s
[CV 2/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.763 total time=   2.9s
[CV 3/3] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.762 total time=   2.9s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=35, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.803 total time=   0.2s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.782 total time=   0.2s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.649 total time=   0.9s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.805 total time=   0.9s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.780 total time=   1.0s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.649 total time=   1.8s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.805 total time=   1.6s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.780 total time=   1.8s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.649 total time=   2.5s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.805 total time=   3.0s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.780 total time=   2.3s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.642 total time=   3.1s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.805 total time=   3.0s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.780 total time=   3.0s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.817 total time=   0.2s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.759 total time=   0.2s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.646 total time=   0.9s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.805 total time=   0.9s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.773 total time=   0.9s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.653 total time=   1.6s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.810 total time=   1.7s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.757 total time=   1.5s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.646 total time=   2.3s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.810 total time=   2.2s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.754 total time=   2.2s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.646 total time=   3.2s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.805 total time=   2.9s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.759 total time=   2.9s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.628 total time=   0.3s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.779 total time=   0.2s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.770 total time=   0.2s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.656 total time=   0.9s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.772 total time=   1.0s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.767 total time=   0.9s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.660 total time=   1.6s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.772 total time=   1.6s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.767 total time=   1.6s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.667 total time=   2.3s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.772 total time=   2.3s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.767 total time=   2.2s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.670 total time=   2.9s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.769 total time=   2.9s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.767 total time=   2.9s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.667 total time=   0.2s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.781 total time=   0.2s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.747 total time=   0.2s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.660 total time=   0.9s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.763 total time=   0.9s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.762 total time=   1.0s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.660 total time=   1.5s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.769 total time=   1.5s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.762 total time=   1.8s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.663 total time=   2.2s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.767 total time=   2.2s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.762 total time=   2.1s
[CV 1/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.649 total time=   2.9s
[CV 2/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.772 total time=   2.8s
[CV 3/3] END max_depth=35, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.762 total time=   2.9s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.803 total time=   0.2s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.782 total time=   0.2s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.649 total time=   0.9s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.805 total time=   0.9s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.780 total time=   1.0s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.649 total time=   1.6s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.805 total time=   1.6s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.780 total time=   1.6s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.649 total time=   2.3s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.805 total time=   2.2s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.780 total time=   2.3s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.642 total time=   3.0s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.805 total time=   2.9s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.780 total time=   3.0s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.817 total time=   0.2s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.759 total time=   0.3s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.646 total time=   1.0s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.805 total time=   0.9s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.773 total time=   0.9s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.653 total time=   1.6s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.810 total time=   1.5s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.757 total time=   1.7s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.646 total time=   2.2s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.810 total time=   2.2s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.754 total time=   2.2s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.646 total time=   2.9s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.805 total time=   2.9s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.759 total time=   3.0s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.628 total time=   0.2s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.779 total time=   0.2s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.770 total time=   0.2s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.656 total time=   0.9s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.772 total time=   1.1s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.767 total time=   0.9s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.660 total time=   1.6s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.772 total time=   1.5s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.767 total time=   1.6s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.667 total time=   2.2s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.772 total time=   2.2s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.767 total time=   2.2s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.670 total time=   2.9s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.769 total time=   2.9s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.767 total time=   2.9s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.667 total time=   0.2s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.781 total time=   0.2s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.747 total time=   0.2s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.660 total time=   0.9s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.763 total time=   0.8s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.762 total time=   0.9s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.660 total time=   1.6s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.769 total time=   1.6s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.762 total time=   1.5s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.663 total time=   2.3s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.767 total time=   2.2s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.762 total time=   2.4s
[CV 1/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.649 total time=   2.9s
[CV 2/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.772 total time=   2.9s
[CV 3/3] END max_depth=35, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.762 total time=   2.8s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.803 total time=   0.2s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.782 total time=   0.2s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.649 total time=   0.9s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.805 total time=   0.9s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.780 total time=   0.9s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.649 total time=   1.7s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.805 total time=   1.6s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.780 total time=   1.6s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.649 total time=   2.4s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.805 total time=   2.3s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.780 total time=   2.3s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.642 total time=   3.0s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.805 total time=   3.2s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.780 total time=   3.4s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.817 total time=   0.2s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.759 total time=   0.2s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.646 total time=   0.9s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.805 total time=   0.9s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.773 total time=   1.0s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.653 total time=   1.6s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.810 total time=   1.6s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.757 total time=   1.5s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.646 total time=   2.4s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.810 total time=   2.2s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.754 total time=   2.3s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.646 total time=   3.0s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.805 total time=   3.0s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.759 total time=   3.0s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.628 total time=   0.2s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.779 total time=   0.3s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.770 total time=   0.3s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.656 total time=   0.9s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.772 total time=   0.9s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.767 total time=   0.9s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.660 total time=   1.7s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.772 total time=   1.6s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.767 total time=   1.5s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.667 total time=   2.3s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.772 total time=   2.6s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.767 total time=   2.3s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.670 total time=   2.9s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.769 total time=   3.0s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.767 total time=   2.9s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.667 total time=   0.2s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.781 total time=   0.2s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.747 total time=   0.2s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.660 total time=   0.9s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.763 total time=   0.9s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.762 total time=   0.9s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.660 total time=   1.6s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.769 total time=   1.5s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.762 total time=   1.5s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.663 total time=   2.3s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.767 total time=   2.2s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.762 total time=   2.2s
[CV 1/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.649 total time=   2.9s
[CV 2/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.772 total time=   2.9s
[CV 3/3] END max_depth=60, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.762 total time=   3.0s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.803 total time=   0.2s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.782 total time=   0.2s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.649 total time=   0.9s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.805 total time=   0.9s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.780 total time=   0.9s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.649 total time=   1.7s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.805 total time=   1.6s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.780 total time=   1.6s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.649 total time=   2.3s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.805 total time=   2.3s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.780 total time=   2.3s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.642 total time=   3.0s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.805 total time=   2.9s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.780 total time=   3.0s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.646 total time=   0.4s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.817 total time=   0.2s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.759 total time=   0.2s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.646 total time=   0.9s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.805 total time=   0.9s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.773 total time=   0.9s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.653 total time=   1.6s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.810 total time=   1.5s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.757 total time=   1.5s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.646 total time=   2.4s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.810 total time=   2.4s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.754 total time=   2.2s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.646 total time=   3.0s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.805 total time=   3.0s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.759 total time=   2.9s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.628 total time=   0.3s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.779 total time=   0.2s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.770 total time=   0.2s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.656 total time=   0.9s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.772 total time=   0.9s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.767 total time=   0.8s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.660 total time=   1.6s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.772 total time=   1.5s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.767 total time=   1.5s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.667 total time=   2.2s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.772 total time=   2.2s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.767 total time=   2.3s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.670 total time=   2.9s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.769 total time=   2.8s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.767 total time=   2.8s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.667 total time=   0.4s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.781 total time=   0.3s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.747 total time=   0.2s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.660 total time=   0.9s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.763 total time=   0.9s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.762 total time=   0.9s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.660 total time=   1.5s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.769 total time=   1.5s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.762 total time=   1.5s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.663 total time=   2.3s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.767 total time=   2.2s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.762 total time=   2.3s
[CV 1/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.649 total time=   2.9s
[CV 2/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.772 total time=   2.9s
[CV 3/3] END max_depth=60, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.762 total time=   2.8s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=85, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.803 total time=   0.2s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.782 total time=   0.2s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.649 total time=   0.9s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.805 total time=   0.9s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.780 total time=   0.9s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.649 total time=   1.6s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.805 total time=   1.6s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.780 total time=   1.6s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.649 total time=   2.4s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.805 total time=   2.2s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.780 total time=   2.2s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.642 total time=   3.1s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.805 total time=   2.9s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.780 total time=   2.9s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.817 total time=   0.2s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.759 total time=   0.2s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.646 total time=   1.0s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.805 total time=   0.9s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.773 total time=   0.9s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.653 total time=   1.6s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.810 total time=   1.7s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.757 total time=   1.5s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.646 total time=   2.3s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.810 total time=   2.3s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.754 total time=   2.2s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.646 total time=   2.9s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.805 total time=   3.0s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.759 total time=   2.8s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.628 total time=   0.2s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.779 total time=   0.2s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.770 total time=   0.2s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.656 total time=   0.9s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.772 total time=   0.9s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.767 total time=   1.0s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.660 total time=   1.6s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.772 total time=   1.6s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.767 total time=   1.6s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.667 total time=   2.2s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.772 total time=   2.2s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.767 total time=   2.2s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.670 total time=   3.0s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.769 total time=   2.9s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.767 total time=   2.8s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.667 total time=   0.2s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.781 total time=   0.2s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.747 total time=   0.4s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.660 total time=   1.1s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.763 total time=   0.9s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.762 total time=   0.8s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.660 total time=   1.5s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.769 total time=   1.5s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.762 total time=   1.5s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.663 total time=   2.2s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.767 total time=   2.3s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.762 total time=   2.2s
[CV 1/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.649 total time=   2.9s
[CV 2/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.772 total time=   2.8s
[CV 3/3] END max_depth=85, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.762 total time=   3.1s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.803 total time=   0.2s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.782 total time=   0.2s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.649 total time=   0.9s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.805 total time=   0.9s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.780 total time=   0.9s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.649 total time=   1.6s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.805 total time=   1.6s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.780 total time=   1.8s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.649 total time=   2.3s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.805 total time=   2.3s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.780 total time=   2.3s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.642 total time=   3.3s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.805 total time=   3.5s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.780 total time=   2.9s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.817 total time=   0.3s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.759 total time=   0.2s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.646 total time=   0.9s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.805 total time=   1.0s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.773 total time=   1.0s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.653 total time=   1.5s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.810 total time=   1.5s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.757 total time=   1.5s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.646 total time=   2.2s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.810 total time=   2.4s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.754 total time=   2.2s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.646 total time=   3.0s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.805 total time=   2.9s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.759 total time=   3.0s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.628 total time=   0.2s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.779 total time=   0.2s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.770 total time=   0.4s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.656 total time=   0.9s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.772 total time=   0.9s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.767 total time=   0.8s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.660 total time=   1.5s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.772 total time=   1.6s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.767 total time=   1.6s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.667 total time=   2.2s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.772 total time=   2.2s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.767 total time=   2.2s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.670 total time=   2.9s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.769 total time=   3.0s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.767 total time=   3.0s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.667 total time=   0.2s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.781 total time=   0.2s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.747 total time=   0.2s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.660 total time=   0.9s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.763 total time=   0.9s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.762 total time=   0.9s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.660 total time=   1.5s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.769 total time=   1.6s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.762 total time=   1.5s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.663 total time=   2.4s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.767 total time=   2.3s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.762 total time=   2.1s
[CV 1/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.649 total time=   2.9s
[CV 2/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.772 total time=   2.8s
[CV 3/3] END max_depth=85, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.762 total time=   2.9s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 2/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 3/3] END max_depth=110, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=nan total time=   0.0s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.803 total time=   0.2s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.782 total time=   0.2s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.649 total time=   0.9s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.805 total time=   1.1s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.780 total time=   0.9s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.649 total time=   1.6s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.805 total time=   1.6s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.780 total time=   1.7s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.649 total time=   2.3s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.805 total time=   2.3s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.780 total time=   2.2s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.642 total time=   3.1s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.805 total time=   3.3s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.780 total time=   3.1s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.817 total time=   0.2s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.759 total time=   0.2s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.646 total time=   0.9s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.805 total time=   1.0s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.773 total time=   0.9s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.653 total time=   1.5s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.810 total time=   1.6s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.757 total time=   1.5s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.646 total time=   2.4s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.810 total time=   2.3s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.754 total time=   2.2s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.646 total time=   2.9s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.805 total time=   2.9s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.759 total time=   3.0s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.628 total time=   0.2s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.779 total time=   0.2s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.770 total time=   0.2s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.656 total time=   0.9s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.772 total time=   1.0s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.767 total time=   0.9s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.660 total time=   1.6s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.772 total time=   1.6s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.767 total time=   1.6s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.667 total time=   2.2s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.772 total time=   2.2s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.767 total time=   2.2s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.670 total time=   3.0s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.769 total time=   2.9s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.767 total time=   3.1s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.667 total time=   0.2s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.781 total time=   0.2s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.747 total time=   0.2s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.660 total time=   0.9s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.763 total time=   0.9s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.762 total time=   0.9s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.660 total time=   1.6s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.769 total time=   1.5s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.762 total time=   1.6s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.663 total time=   2.2s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.767 total time=   2.5s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.762 total time=   2.3s
[CV 1/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.649 total time=   2.9s
[CV 2/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.772 total time=   2.9s
[CV 3/3] END max_depth=110, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.762 total time=   2.9s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.803 total time=   0.2s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.782 total time=   0.2s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.649 total time=   0.9s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.805 total time=   1.1s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=650;, score=0.780 total time=   0.9s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.649 total time=   1.6s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.805 total time=   1.6s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1100;, score=0.780 total time=   1.7s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.649 total time=   2.3s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.805 total time=   2.3s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=1550;, score=0.780 total time=   2.3s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.642 total time=   3.1s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.805 total time=   3.0s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.780 total time=   3.3s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.646 total time=   0.2s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.817 total time=   0.2s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=200;, score=0.759 total time=   0.2s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.646 total time=   0.9s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.805 total time=   0.9s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=650;, score=0.773 total time=   1.0s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.653 total time=   1.6s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.810 total time=   1.6s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1100;, score=0.757 total time=   1.6s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.646 total time=   2.5s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.810 total time=   2.3s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=1550;, score=0.754 total time=   2.3s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.646 total time=   3.0s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.805 total time=   3.0s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.759 total time=   2.9s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.628 total time=   0.2s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.779 total time=   0.3s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=200;, score=0.770 total time=   0.3s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.656 total time=   0.9s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.772 total time=   0.9s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=650;, score=0.767 total time=   0.9s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.660 total time=   1.6s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.772 total time=   1.6s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1100;, score=0.767 total time=   1.7s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.667 total time=   2.2s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.772 total time=   2.4s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=1550;, score=0.767 total time=   2.2s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.670 total time=   3.0s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.769 total time=   2.9s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=5, n_estimators=2000;, score=0.767 total time=   2.8s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.667 total time=   0.2s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.781 total time=   0.2s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.747 total time=   0.2s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.660 total time=   0.9s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.763 total time=   1.1s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=650;, score=0.762 total time=   0.9s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.660 total time=   1.6s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.769 total time=   1.5s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1100;, score=0.762 total time=   1.5s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.663 total time=   2.2s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.767 total time=   2.2s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=1550;, score=0.762 total time=   2.3s
[CV 1/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.649 total time=   2.9s
[CV 2/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.772 total time=   3.0s
[CV 3/3] END max_depth=110, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=2000;, score=0.762 total time=   2.8s
Out[148]:
GridSearchCV(cv=3, estimator=RandomForestClassifier(random_state=5), n_jobs=1,
             param_grid={'max_depth': [10, 35, 60, 85, 110],
                         'max_features': ['auto', 'sqrt', 'log2'],
                         'min_samples_leaf': [2, 4],
                         'min_samples_split': [5, 10],
                         'n_estimators': [200, 650, 1100, 1550, 2000]},
             scoring='f1', verbose=3)
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Parameters
estimator  RandomForestC...andom_state=5)
param_grid  {'max_depth': [10, 35, ...], 'max_features': ['auto', 'sqrt', ...], 'min_samples_leaf': [2, 4], 'min_samples_split': [5, 10], ...}
scoring  'f1'
n_jobs  1
refit  True
cv  3
verbose  3
pre_dispatch  '2*n_jobs'
error_score  nan
return_train_score  False 
RandomForestClassifier(max_depth=35, min_samples_leaf=2, min_samples_split=5,
                       n_estimators=650, random_state=5)
Parameters
n_estimators  650
criterion  'gini'
max_depth  35
min_samples_split  5
min_samples_leaf  2
min_weight_fraction_leaf  0.0
max_features  'sqrt'
max_leaf_nodes  None
min_impurity_decrease  0.0
bootstrap  True
oob_score  False
n_jobs  None
random_state  5
verbose  0
warm_start  False
class_weight  None
ccp_alpha  0.0
max_samples  None
monotonic_cst  None
In [149]:
rf1_cv.best_params_ # printing the best parameters
Out[149]:
{'max_depth': 35,
 'max_features': 'sqrt',
 'min_samples_leaf': 2,
 'min_samples_split': 5,
 'n_estimators': 650}
In [152]:
rf1=RandomForestClassifier(max_depth=35,min_samples_leaf=2,min_samples_split=5,random_state=25,n_estimators=650,max_features='sqrt')
In [154]:
rf1.fit(sm_x_train,sm_y_train)
Out[154]:
RandomForestClassifier(max_depth=35, min_samples_leaf=2, min_samples_split=5,
                       n_estimators=650, random_state=25)
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Parameters
n_estimators  650
criterion  'gini'
max_depth  35
min_samples_split  5
min_samples_leaf  2
min_weight_fraction_leaf  0.0
max_features  'sqrt'
max_leaf_nodes  None
min_impurity_decrease  0.0
bootstrap  True
oob_score  False
n_jobs  None
random_state  25
verbose  0
warm_start  False
class_weight  None
ccp_alpha  0.0
max_samples  None
monotonic_cst  None

checking it's accuracy using IT'S BEST PARAMETERS OF TRAINING ACCURACY¶

Testing Accuracy¶

In [158]:
y_rf1_pre=rf1.predict(x_test)
print(f'Testing Accuracy',classification_report(y_test,y_rf1_pre))

Testing Accuracy               precision    recall  f1-score   support

           0       0.86      0.78      0.82        93
           1       0.35      0.48      0.41        23

    accuracy                           0.72       116
   macro avg       0.61      0.63      0.61       116
weighted avg       0.76      0.72      0.74       116

Training Accuracy¶

In [161]:
y_rf1_predict=rf1.predict(x_train)
print(f'Testing Accuracy',classification_report(y_train,y_rf1_predict))

Testing Accuracy               precision    recall  f1-score   support

           0       0.92      0.91      0.92       345
           1       0.74      0.77      0.76       115

    accuracy                           0.88       460
   macro avg       0.83      0.84      0.84       460
weighted avg       0.88      0.88      0.88       460

5. Gradient Boosting¶

In [164]:
from sklearn.ensemble import GradientBoostingClassifier  # Import the Gradient Boosting Classifier from scikit-learn

gb = GradientBoostingClassifier(random_state=22)  
# Create an instance of the Gradient Boosting model
# 'random_state=22' ensures reproducibility of results

gb.fit(sm_x_train, sm_y_train)
Out[164]:
GradientBoostingClassifier(random_state=22)
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Parameters
loss  'log_loss'
learning_rate  0.1
n_estimators  100
subsample  1.0
criterion  'friedman_mse'
min_samples_split  2
min_samples_leaf  1
min_weight_fraction_leaf  0.0
max_depth  3
min_impurity_decrease  0.0
init  None
random_state  22
max_features  None
verbose  0
max_leaf_nodes  None
warm_start  False
validation_fraction  0.1
n_iter_no_change  None
tol  0.0001
ccp_alpha  0.0

Testing Accuracy¶

In [167]:
y_gb_pre=gb.predict(x_test)
print(f'Testing Accuracy',classification_report(y_test,y_gb_pre))

Testing Accuracy               precision    recall  f1-score   support

           0       0.85      0.76      0.80        93
           1       0.31      0.43      0.36        23

    accuracy                           0.70       116
   macro avg       0.58      0.60      0.58       116
weighted avg       0.74      0.70      0.72       116

Training Accuracy¶

In [170]:
y_gb_predict=gb.predict(x_train)
print(f'Training Accuracy',classification_report(y_train,y_gb_predict))

Training Accuracy               precision    recall  f1-score   support

           0       0.90      0.87      0.88       345
           1       0.64      0.71      0.67       115

    accuracy                           0.83       460
   macro avg       0.77      0.79      0.78       460
weighted avg       0.84      0.83      0.83       460
In [172]:
gb_hyper = {
    "n_estimators": [50, 80, 100, 300],  
    # Number of boosting stages (i.e., trees) to build.
    # More estimators can improve performance but also increase training time and risk of overfitting.

    "max_depth": [4, 8, 15, 19],  
    # Maximum depth of each individual decision tree.
    # Deeper trees can capture more complex patterns but may overfit on smaller datasets.

    "learning_rate": [0.01, 0.03, 0.06, 0.1],  
    # Controls how much each tree contributes to the final prediction.
    # Smaller values require more trees but often lead to better generalization.

    "criterion": ['friedman_mse', 'squared_error'],  
    # The function used to measure the quality of a split:
    # - 'friedman_mse': default and usually better with boosting
    # - 'squared_error': equivalent to MSE, a more traditional approach

    "max_features": ['sqrt', 'log2'],  
    # Number of features to consider when looking for the best split:
    # - 'sqrt': square root of total features
    # - 'log2': log base 2 of total features

    "subsample": [0.8, 1.0]  
    # The fraction of samples to use for fitting each tree:
    # - <1.0 introduces randomness and can reduce overfitting
    # - 1.0 uses the full dataset (no randomness)
}
In [174]:
gb_cv=GridSearchCV(gb,gb_hyper,scoring='f1',verbose=3,cv=3,refit=True,n_jobs=1)
gb_cv.fit(sm_x_train,sm_y_train)

Fitting 3 folds for each of 512 candidates, totalling 1536 fits
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.720 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.619 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.708 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.612 total time=   0.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.708 total time=   0.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.708 total time=   0.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.602 total time=   0.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.714 total time=   0.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.604 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.749 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.732 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.588 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.743 total time=   0.6s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.758 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.720 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.619 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.708 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.723 total time=   0.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.706 total time=   0.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.612 total time=   0.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.708 total time=   0.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.708 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.602 total time=   0.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.723 total time=   0.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.714 total time=   0.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.604 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.749 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.732 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.588 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.743 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.758 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.620 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.797 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.774 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.589 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.807 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.790 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.617 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.790 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.784 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.625 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.807 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.794 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.624 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.788 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.789 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.635 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.808 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.782 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.641 total time=   1.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.808 total time=   1.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.802 total time=   1.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.630 total time=   1.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.815 total time=   1.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.797 total time=   1.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.620 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.797 total time=   0.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.774 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.589 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.807 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.790 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.617 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.790 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.784 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.625 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.807 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.794 total time=   0.7s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.624 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.788 total time=   0.9s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.789 total time=   1.7s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.635 total time=   0.7s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.808 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.782 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.641 total time=   1.7s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.808 total time=   1.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.802 total time=   1.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.630 total time=   1.7s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.815 total time=   1.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.797 total time=   1.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.663 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.793 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.781 total time=   0.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.630 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.803 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.776 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.645 total time=   1.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.793 total time=   1.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.775 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.638 total time=   0.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.812 total time=   1.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.776 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.660 total time=   1.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.797 total time=   1.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.772 total time=   1.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.656 total time=   1.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.817 total time=   1.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.773 total time=   1.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.656 total time=   4.7s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.813 total time=   7.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.786 total time=   4.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.630 total time=   4.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.817 total time=   5.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.770 total time=   3.9s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.663 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.793 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.781 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.630 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.803 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.776 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.645 total time=   1.9s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.793 total time=   1.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.775 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.638 total time=   0.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.812 total time=   0.9s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.776 total time=   0.9s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.660 total time=   1.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.797 total time=   1.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.772 total time=   1.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.656 total time=   1.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.817 total time=   1.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.773 total time=   1.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.656 total time=   3.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.813 total time=   3.7s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.786 total time=   4.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.630 total time=   5.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.817 total time=   4.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.770 total time=   4.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.634 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.812 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.768 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.630 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.823 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.768 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.652 total time=   1.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.800 total time=   0.9s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.765 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.620 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.815 total time=   0.6s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.645 total time=   1.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.800 total time=   1.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.763 total time=   1.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.627 total time=   0.7s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.812 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.773 total time=   0.7s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.649 total time=   5.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.826 total time=   4.7s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.781 total time=   3.7s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.638 total time=   2.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.810 total time=   3.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.773 total time=   3.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.634 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.812 total time=   1.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.768 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.630 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.823 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.768 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.652 total time=   1.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.800 total time=   0.9s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.765 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.620 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.815 total time=   0.6s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.645 total time=   2.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.800 total time=   1.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.763 total time=   2.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.627 total time=   0.9s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.812 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.773 total time=   0.9s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.649 total time=   4.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.826 total time=   4.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.781 total time=   4.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.638 total time=   2.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.810 total time=   2.7s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.773 total time=   2.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.615 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.745 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.722 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.584 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.739 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.724 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.587 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.745 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.739 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.596 total time=   0.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.754 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.738 total time=   0.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.596 total time=   0.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.754 total time=   0.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.744 total time=   0.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.600 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.849 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.802 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.605 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.840 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.800 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.615 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.745 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.722 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.584 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.739 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.724 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.587 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.745 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.739 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.596 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.754 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.738 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.596 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.754 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.744 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.600 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.849 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.802 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.605 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.840 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.800 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.624 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.815 total time=   0.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.780 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.620 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.815 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.805 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.634 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.810 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.784 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.612 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.815 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.816 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.649 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.817 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.798 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.612 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.833 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.815 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.663 total time=   1.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.837 total time=   1.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.795 total time=   1.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.634 total time=   1.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.844 total time=   1.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.794 total time=   1.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.624 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.815 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.780 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.620 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.815 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.805 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.634 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.810 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.784 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.612 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.815 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.816 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.649 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.817 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.798 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.612 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.833 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.815 total time=   0.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.663 total time=   1.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.837 total time=   1.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.795 total time=   1.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.634 total time=   1.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.844 total time=   1.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.794 total time=   1.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.684 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.820 total time=   0.9s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.785 total time=   0.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.626 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.810 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.770 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.652 total time=   1.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.824 total time=   0.9s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.777 total time=   1.7s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.611 total time=   0.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.818 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.660 total time=   1.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.820 total time=   1.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.785 total time=   1.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.626 total time=   1.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.811 total time=   2.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.776 total time=   1.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.708 total time=   4.9s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.837 total time=   4.7s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.783 total time=   4.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.619 total time=   4.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.829 total time=   4.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.768 total time=   3.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.684 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.820 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.785 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.626 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.810 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.770 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.652 total time=   1.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.824 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.777 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.611 total time=   0.7s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.818 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.660 total time=   1.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.820 total time=   1.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.785 total time=   1.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.626 total time=   1.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.811 total time=   1.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.776 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.708 total time=   4.9s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.837 total time=   5.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.783 total time=   3.9s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.619 total time=   4.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.829 total time=   4.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.768 total time=   3.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.674 total time=   0.7s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.831 total time=   0.6s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.773 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.624 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.805 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.773 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.660 total time=   1.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.840 total time=   1.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.778 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.627 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.810 total time=   0.7s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.770 total time=   0.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.660 total time=   1.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.835 total time=   1.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.781 total time=   1.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.631 total time=   0.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.810 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.773 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.698 total time=   4.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.843 total time=   4.7s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.775 total time=   4.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.642 total time=   2.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.824 total time=   2.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.770 total time=   2.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.674 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.831 total time=   0.6s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.773 total time=   0.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.624 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.805 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.773 total time=   0.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.660 total time=   1.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.840 total time=   1.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.778 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.627 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.810 total time=   0.6s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.770 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.660 total time=   1.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.835 total time=   1.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.781 total time=   1.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.631 total time=   0.7s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.810 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.773 total time=   0.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.698 total time=   4.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.843 total time=   3.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.775 total time=   3.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.642 total time=   2.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.824 total time=   2.9s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.770 total time=   2.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.614 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.764 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.759 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.579 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.754 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.756 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.781 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.775 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.597 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.805 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.758 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.626 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.803 total time=   0.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.770 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.579 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.817 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.775 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.630 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.862 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.823 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.615 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.866 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.817 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.614 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.764 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.759 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.579 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.754 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.756 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.781 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.775 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.597 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.805 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.758 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.626 total time=   0.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.803 total time=   0.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.770 total time=   0.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.579 total time=   0.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.817 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.775 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.630 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.862 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.823 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.615 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.866 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.817 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.641 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.826 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.810 total time=   0.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.627 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.810 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.808 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.663 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.854 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.816 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.634 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.835 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.805 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.648 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.858 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.811 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.641 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.828 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.797 total time=   0.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.670 total time=   1.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.856 total time=   1.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.803 total time=   1.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.619 total time=   1.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.846 total time=   1.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.781 total time=   1.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.641 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.826 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.810 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.627 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.810 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.808 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.663 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.854 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.816 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.634 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.835 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.805 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.648 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.858 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.811 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.641 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.828 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.797 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.670 total time=   1.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.856 total time=   1.7s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.803 total time=   2.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.619 total time=   1.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.846 total time=   1.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.781 total time=   1.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.653 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.843 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.787 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.660 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.812 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.773 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.663 total time=   0.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.855 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.784 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.638 total time=   0.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.814 total time=   0.9s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.771 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.656 total time=   1.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.847 total time=   1.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.787 total time=   1.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.660 total time=   1.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.828 total time=   1.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.768 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.695 total time=   3.7s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.835 total time=   3.7s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.780 total time=   5.7s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.660 total time=   3.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.828 total time=   3.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.776 total time=   3.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.653 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.843 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.787 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.660 total time=   0.9s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.812 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.773 total time=   1.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.663 total time=   1.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.855 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.784 total time=   0.9s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.638 total time=   0.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.814 total time=   0.9s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.771 total time=   0.7s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.656 total time=   1.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.847 total time=   1.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.787 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.660 total time=   1.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.828 total time=   1.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.768 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.695 total time=   3.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.835 total time=   3.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.780 total time=   3.9s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.660 total time=   3.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.828 total time=   3.6s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.776 total time=   3.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.677 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.810 total time=   0.6s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.781 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.638 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.810 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.770 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.656 total time=   0.9s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.837 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.784 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.620 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.810 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.660 total time=   1.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.834 total time=   1.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.776 total time=   1.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.627 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.820 total time=   0.7s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.773 total time=   0.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.698 total time=   3.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.837 total time=   3.6s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.780 total time=   3.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.638 total time=   2.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.828 total time=   2.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.778 total time=   2.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.677 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.810 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.781 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.638 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.810 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.770 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.656 total time=   0.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.837 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.784 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.620 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.810 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.660 total time=   1.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.834 total time=   1.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.776 total time=   1.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.627 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.820 total time=   0.7s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.773 total time=   0.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.698 total time=   3.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.837 total time=   3.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.780 total time=   3.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.638 total time=   2.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.828 total time=   2.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.778 total time=   2.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.781 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.779 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.616 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.795 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.782 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.605 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.802 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.803 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.595 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.815 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.807 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.599 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.819 total time=   0.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.807 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.630 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.831 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.818 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.598 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.858 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.838 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.637 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.868 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.831 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.781 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.779 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.616 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.795 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.782 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.605 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.802 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.803 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.595 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.815 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.807 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.599 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.819 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.807 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.630 total time=   0.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.831 total time=   0.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.818 total time=   0.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.598 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.858 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.838 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.637 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.868 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.831 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.645 total time=   0.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.830 total time=   0.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.794 total time=   0.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.624 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.848 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.795 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.656 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.862 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.795 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.652 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.862 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.792 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.656 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.858 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.800 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.641 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.856 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.795 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.659 total time=   1.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.854 total time=   1.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.778 total time=   1.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.645 total time=   1.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.843 total time=   1.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.780 total time=   1.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.645 total time=   0.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.830 total time=   0.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.794 total time=   0.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.624 total time=   0.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.848 total time=   0.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.795 total time=   0.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.656 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.862 total time=   0.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.795 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.652 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.862 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.792 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.656 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.858 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.800 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.641 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.856 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.795 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.659 total time=   1.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.854 total time=   1.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.778 total time=   1.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.645 total time=   1.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.843 total time=   1.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.780 total time=   1.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.680 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.821 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.794 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.649 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.817 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.770 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.705 total time=   0.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.837 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.785 total time=   0.7s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.627 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.830 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.7s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.681 total time=   0.9s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.833 total time=   1.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.795 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.627 total time=   0.9s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.826 total time=   1.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.770 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.677 total time=   3.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.843 total time=   2.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.776 total time=   2.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.667 total time=   2.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.826 total time=   2.6s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.778 total time=   2.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.680 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.821 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.794 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.649 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.817 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.770 total time=   0.4s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.705 total time=   0.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.837 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.785 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.627 total time=   0.7s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.830 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.7s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.681 total time=   1.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.833 total time=   1.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.795 total time=   1.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.627 total time=   1.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.826 total time=   1.7s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.770 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.677 total time=   3.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.843 total time=   2.9s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.776 total time=   2.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.667 total time=   2.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.826 total time=   2.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.778 total time=   2.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.677 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.826 total time=   0.5s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.781 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.656 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.810 total time=   0.3s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.776 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.688 total time=   0.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.849 total time=   0.9s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.784 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.638 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.829 total time=   0.6s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.778 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.670 total time=   1.2s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.833 total time=   1.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.787 total time=   1.1s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.638 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.824 total time=   0.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.778 total time=   0.7s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.688 total time=   3.7s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.833 total time=   3.2s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.776 total time=   3.2s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.638 total time=   1.8s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.833 total time=   2.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.781 total time=   1.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.677 total time=   0.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.826 total time=   0.6s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.781 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.656 total time=   0.3s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.810 total time=   0.4s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.776 total time=   0.3s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.688 total time=   1.0s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.849 total time=   1.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.784 total time=   0.8s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.638 total time=   0.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.829 total time=   0.7s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.778 total time=   0.5s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.670 total time=   1.1s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.833 total time=   1.1s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.787 total time=   1.0s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.638 total time=   0.6s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.824 total time=   0.7s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.778 total time=   0.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.688 total time=   2.5s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.833 total time=   3.0s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.776 total time=   2.6s
[CV 1/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.638 total time=   1.4s
[CV 2/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.833 total time=   1.8s
[CV 3/3] END criterion=friedman_mse, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.781 total time=   1.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.720 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.619 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.708 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.723 total time=   0.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.706 total time=   0.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.612 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.708 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.708 total time=   0.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.597 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.749 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.732 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.590 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.743 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.758 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.606 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.711 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.717 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.720 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.619 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.708 total time=   0.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.706 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.612 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.708 total time=   0.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.708 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.723 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.714 total time=   0.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.597 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.749 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.732 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.590 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.743 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.758 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.623 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.793 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.770 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.589 total time=   0.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.807 total time=   0.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.790 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.642 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.791 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.769 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.629 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.807 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.794 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.634 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.800 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.770 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.621 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.808 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.782 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.656 total time=   1.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.819 total time=   1.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.800 total time=   1.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.627 total time=   1.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.815 total time=   1.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.797 total time=   1.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.623 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.793 total time=   0.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.770 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.589 total time=   0.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.807 total time=   0.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.790 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.642 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.791 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.769 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.629 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.807 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.794 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.634 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.800 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.770 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.621 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.808 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.782 total time=   0.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.656 total time=   1.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.819 total time=   1.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.800 total time=   1.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.627 total time=   1.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.815 total time=   1.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.797 total time=   1.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.663 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.800 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.765 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.620 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.817 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.765 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.645 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.805 total time=   1.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.757 total time=   0.8s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.634 total time=   0.8s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.817 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.762 total time=   0.8s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.660 total time=   1.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.808 total time=   1.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.765 total time=   1.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.638 total time=   0.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.820 total time=   1.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.765 total time=   0.9s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.656 total time=   3.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.822 total time=   3.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.775 total time=   3.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.638 total time=   3.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.810 total time=   3.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.776 total time=   3.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.663 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.800 total time=   0.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.765 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.620 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.817 total time=   0.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.765 total time=   0.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.645 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.805 total time=   0.9s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.757 total time=   0.8s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.634 total time=   0.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.817 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.762 total time=   0.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.660 total time=   1.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.808 total time=   1.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.765 total time=   1.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.638 total time=   1.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.820 total time=   1.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.765 total time=   0.9s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.656 total time=   3.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.822 total time=   3.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.775 total time=   3.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.638 total time=   3.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.810 total time=   3.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.776 total time=   3.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.660 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.807 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.771 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.627 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.820 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.782 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.652 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.812 total time=   1.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.768 total time=   1.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.620 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.808 total time=   0.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.667 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.802 total time=   1.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.779 total time=   1.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.627 total time=   0.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.807 total time=   0.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.773 total time=   0.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.670 total time=   3.8s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.828 total time=   3.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.770 total time=   3.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.623 total time=   2.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.810 total time=   2.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.773 total time=   2.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.660 total time=   0.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.807 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.771 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.627 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.820 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.782 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.652 total time=   0.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.812 total time=   1.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.768 total time=   0.8s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.620 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.808 total time=   0.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.667 total time=   1.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.802 total time=   1.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.779 total time=   1.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.627 total time=   0.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.807 total time=   0.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.773 total time=   0.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.670 total time=   3.8s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.828 total time=   3.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.770 total time=   3.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.623 total time=   2.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.810 total time=   2.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.01, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.773 total time=   2.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.615 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.745 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.722 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.587 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.739 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.724 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.587 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.745 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.739 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.596 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.754 total time=   0.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.738 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.603 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.754 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.744 total time=   0.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.581 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.849 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.802 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.588 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.840 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.800 total time=   0.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.615 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.745 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.722 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.602 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.726 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.714 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.587 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.739 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.724 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.587 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.745 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.739 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.596 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.754 total time=   0.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.738 total time=   0.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.603 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.754 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.744 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.581 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.849 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.802 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.588 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.840 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.800 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.624 total time=   0.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.807 total time=   0.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.777 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.635 total time=   0.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.807 total time=   0.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.805 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.645 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.817 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.777 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.627 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.810 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.816 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.652 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.817 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.780 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.638 total time=   0.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.824 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.815 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.645 total time=   1.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.857 total time=   1.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.797 total time=   1.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.619 total time=   1.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.840 total time=   1.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.794 total time=   1.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.624 total time=   0.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.807 total time=   0.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.777 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.635 total time=   0.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.807 total time=   0.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.805 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.645 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.817 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.777 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.627 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.810 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.816 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.652 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.817 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.780 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.638 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.824 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.815 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.645 total time=   1.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.857 total time=   1.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.797 total time=   1.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.619 total time=   1.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.840 total time=   1.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.794 total time=   1.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.670 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.818 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.776 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.649 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.807 total time=   0.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.767 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.649 total time=   0.8s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.820 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.776 total time=   0.8s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.649 total time=   0.8s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.817 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.767 total time=   0.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.677 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.818 total time=   1.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.784 total time=   1.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.667 total time=   1.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.810 total time=   1.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.767 total time=   0.9s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.695 total time=   3.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.833 total time=   3.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.783 total time=   3.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.634 total time=   3.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.831 total time=   3.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.771 total time=   3.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.670 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.818 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.776 total time=   0.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.649 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.807 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.767 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.649 total time=   0.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.820 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.776 total time=   0.8s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.649 total time=   0.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.817 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.767 total time=   0.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.677 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.818 total time=   1.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.784 total time=   1.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.667 total time=   0.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.810 total time=   1.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.767 total time=   0.9s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.695 total time=   3.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.833 total time=   3.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.783 total time=   3.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.634 total time=   3.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.831 total time=   3.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.771 total time=   3.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.660 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.819 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.778 total time=   0.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.631 total time=   0.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.810 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.773 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.645 total time=   1.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.833 total time=   0.9s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.773 total time=   0.8s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.634 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.810 total time=   0.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.660 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.828 total time=   1.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.770 total time=   1.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.634 total time=   0.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.813 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.776 total time=   0.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.684 total time=   4.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.840 total time=   3.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.786 total time=   3.8s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.638 total time=   2.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.828 total time=   2.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.773 total time=   2.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.660 total time=   0.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.819 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.778 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.631 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.810 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.773 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.645 total time=   0.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.833 total time=   1.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.773 total time=   0.9s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.634 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.810 total time=   0.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.660 total time=   1.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.828 total time=   1.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.770 total time=   1.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.634 total time=   0.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.813 total time=   0.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.776 total time=   0.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.684 total time=   3.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.840 total time=   3.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.786 total time=   3.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.638 total time=   2.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.828 total time=   2.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.03, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.773 total time=   2.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.614 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.764 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.759 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.579 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.754 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.756 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.791 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.775 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.597 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.805 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.758 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.626 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.803 total time=   0.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.770 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.579 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.817 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.775 total time=   0.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.637 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.863 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.823 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.615 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.866 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.817 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.614 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.764 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.759 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.579 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.754 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.756 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.613 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.791 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.775 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.597 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.805 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.758 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.626 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.803 total time=   0.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.770 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.579 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.817 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.775 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.637 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.863 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.823 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.615 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.866 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.817 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.634 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.814 total time=   0.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.810 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.615 total time=   0.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.812 total time=   0.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.803 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.638 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.842 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.823 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.648 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.828 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.790 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.634 total time=   0.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.851 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.815 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.626 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.835 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.785 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.681 total time=   1.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.852 total time=   1.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.803 total time=   1.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.622 total time=   1.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.843 total time=   1.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.784 total time=   1.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.634 total time=   0.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.814 total time=   0.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.810 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.615 total time=   0.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.812 total time=   0.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.803 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.638 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.842 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.823 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.648 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.828 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.790 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.634 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.851 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.815 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.626 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.835 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.785 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.681 total time=   1.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.852 total time=   1.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.803 total time=   1.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.622 total time=   1.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.843 total time=   1.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.784 total time=   1.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.660 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.831 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.770 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.638 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.813 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.770 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.638 total time=   0.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.850 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.775 total time=   0.9s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.641 total time=   1.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.818 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.770 total time=   0.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.649 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.843 total time=   1.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.778 total time=   1.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.641 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.833 total time=   1.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.773 total time=   1.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.695 total time=   3.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.820 total time=   3.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.780 total time=   3.9s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.641 total time=   3.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.828 total time=   3.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.784 total time=   3.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.660 total time=   0.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.831 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.770 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.638 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.813 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.770 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.638 total time=   0.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.850 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.775 total time=   0.9s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.641 total time=   0.8s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.818 total time=   1.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.770 total time=   0.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.649 total time=   1.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.843 total time=   1.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.778 total time=   1.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.641 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.833 total time=   1.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.773 total time=   0.9s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.695 total time=   3.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.820 total time=   3.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.780 total time=   3.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.641 total time=   3.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.828 total time=   3.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.784 total time=   3.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.667 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.823 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.781 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.638 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.817 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.773 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.660 total time=   0.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.837 total time=   0.9s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.784 total time=   1.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.630 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.810 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.670 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.833 total time=   1.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.781 total time=   1.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.634 total time=   0.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.833 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.770 total time=   0.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.695 total time=   3.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.823 total time=   3.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.780 total time=   3.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.642 total time=   2.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.838 total time=   2.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.781 total time=   2.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.667 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.823 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.781 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.638 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.817 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.773 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.660 total time=   0.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.837 total time=   0.9s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.784 total time=   0.8s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.630 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.810 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.773 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.670 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.833 total time=   1.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.781 total time=   1.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.634 total time=   0.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.833 total time=   0.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.770 total time=   0.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.695 total time=   3.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.823 total time=   3.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.780 total time=   3.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.642 total time=   2.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.838 total time=   2.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.06, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.781 total time=   2.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.781 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.779 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.616 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.795 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.782 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.605 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.802 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.803 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.595 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.815 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.807 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.599 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.819 total time=   0.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.807 total time=   0.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.630 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.831 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.818 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.598 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.858 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.838 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.637 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.868 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.831 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.589 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.781 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=50, subsample=0.8;, score=0.779 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.616 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.795 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=50, subsample=1.0;, score=0.782 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.605 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.802 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=80, subsample=0.8;, score=0.803 total time=   0.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.595 total time=   0.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.815 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=80, subsample=1.0;, score=0.807 total time=   0.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.599 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.819 total time=   0.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=100, subsample=0.8;, score=0.807 total time=   0.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.630 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.831 total time=   0.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=100, subsample=1.0;, score=0.818 total time=   0.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.598 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.858 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=300, subsample=0.8;, score=0.838 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.637 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.868 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=4, max_features=log2, n_estimators=300, subsample=1.0;, score=0.831 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.648 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.824 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.787 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.670 total time=   0.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.851 total time=   0.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.795 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.648 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.856 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.798 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.626 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.852 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.792 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.670 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.851 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.795 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.630 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.861 total time=   0.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.795 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.663 total time=   1.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.856 total time=   1.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.786 total time=   1.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.656 total time=   1.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.865 total time=   1.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.780 total time=   1.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.648 total time=   0.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.824 total time=   0.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=50, subsample=0.8;, score=0.787 total time=   0.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.670 total time=   0.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.851 total time=   0.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=50, subsample=1.0;, score=0.795 total time=   0.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.648 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.856 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=80, subsample=0.8;, score=0.798 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.626 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.852 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=80, subsample=1.0;, score=0.792 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.670 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.851 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=100, subsample=0.8;, score=0.795 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.630 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.861 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=100, subsample=1.0;, score=0.795 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.663 total time=   1.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.856 total time=   1.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=300, subsample=0.8;, score=0.786 total time=   1.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.656 total time=   1.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.865 total time=   1.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=8, max_features=log2, n_estimators=300, subsample=1.0;, score=0.780 total time=   1.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.670 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.842 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.789 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.663 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.805 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.773 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.674 total time=   0.8s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.861 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.776 total time=   0.9s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.638 total time=   0.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.815 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.770 total time=   0.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.674 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.848 total time=   1.0s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.773 total time=   1.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.638 total time=   0.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.833 total time=   1.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.767 total time=   0.9s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.691 total time=   2.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.857 total time=   2.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.773 total time=   2.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.638 total time=   2.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.844 total time=   2.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.781 total time=   2.2s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.670 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.842 total time=   0.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=50, subsample=0.8;, score=0.789 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.663 total time=   0.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.805 total time=   0.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=50, subsample=1.0;, score=0.773 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.674 total time=   0.8s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.861 total time=   0.9s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=80, subsample=0.8;, score=0.776 total time=   0.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.638 total time=   0.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.815 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=80, subsample=1.0;, score=0.770 total time=   0.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.674 total time=   1.0s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.848 total time=   1.1s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=100, subsample=0.8;, score=0.773 total time=   1.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.638 total time=   0.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.833 total time=   1.2s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=100, subsample=1.0;, score=0.767 total time=   1.0s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.691 total time=   2.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.857 total time=   2.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=300, subsample=0.8;, score=0.773 total time=   2.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.638 total time=   1.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.844 total time=   2.4s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=15, max_features=log2, n_estimators=300, subsample=1.0;, score=0.781 total time=   2.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.677 total time=   0.7s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.825 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=50, subsample=0.8;, score=0.789 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.646 total time=   0.2s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.813 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=50, subsample=1.0;, score=0.776 total time=   0.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.667 total time=   0.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.856 total time=   0.9s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=80, subsample=0.8;, score=0.783 total time=   0.8s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.630 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.831 total time=   0.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=80, subsample=1.0;, score=0.778 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.681 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.846 total time=   1.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=100, subsample=0.8;, score=0.787 total time=   1.3s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.631 total time=   0.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.826 total time=   0.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=100, subsample=1.0;, score=0.778 total time=   0.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.705 total time=   2.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.833 total time=   2.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=300, subsample=0.8;, score=0.776 total time=   2.8s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.604 total time=   1.4s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.830 total time=   1.9s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=sqrt, n_estimators=300, subsample=1.0;, score=0.781 total time=   1.9s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.677 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.825 total time=   0.5s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=50, subsample=0.8;, score=0.789 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.646 total time=   0.3s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.813 total time=   0.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=50, subsample=1.0;, score=0.776 total time=   0.4s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.667 total time=   0.9s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.856 total time=   0.9s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=80, subsample=0.8;, score=0.783 total time=   0.8s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.630 total time=   0.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.831 total time=   0.6s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=80, subsample=1.0;, score=0.778 total time=   0.5s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.681 total time=   1.1s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.846 total time=   1.3s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=100, subsample=0.8;, score=0.787 total time=   1.1s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.631 total time=   0.6s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.826 total time=   0.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=100, subsample=1.0;, score=0.778 total time=   0.7s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.705 total time=   2.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.833 total time=   2.7s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=300, subsample=0.8;, score=0.776 total time=   2.6s
[CV 1/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.604 total time=   1.5s
[CV 2/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.830 total time=   1.8s
[CV 3/3] END criterion=squared_error, learning_rate=0.1, max_depth=19, max_features=log2, n_estimators=300, subsample=1.0;, score=0.781 total time=   1.9s
Out[174]:
GridSearchCV(cv=3, estimator=GradientBoostingClassifier(random_state=22),
             n_jobs=1,
             param_grid={'criterion': ['friedman_mse', 'squared_error'],
                         'learning_rate': [0.01, 0.03, 0.06, 0.1],
                         'max_depth': [4, 8, 15, 19],
                         'max_features': ['sqrt', 'log2'],
                         'n_estimators': [50, 80, 100, 300],
                         'subsample': [0.8, 1.0]},
             scoring='f1', verbose=3)
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Parameters
estimator  GradientBoost...ndom_state=22)
param_grid  {'criterion': ['friedman_mse', 'squared_error'], 'learning_rate': [0.01, 0.03, ...], 'max_depth': [4, 8, ...], 'max_features': ['sqrt', 'log2'], ...}
scoring  'f1'
n_jobs  1
refit  True
cv  3
verbose  3
pre_dispatch  '2*n_jobs'
error_score  nan
return_train_score  False 
GradientBoostingClassifier(criterion='squared_error', learning_rate=0.06,
                           max_depth=8, max_features='sqrt', n_estimators=300,
                           random_state=22, subsample=0.8)
Parameters
loss  'log_loss'
learning_rate  0.06
n_estimators  300
subsample  0.8
criterion  'squared_error'
min_samples_split  2
min_samples_leaf  1
min_weight_fraction_leaf  0.0
max_depth  8
min_impurity_decrease  0.0
init  None
random_state  22
max_features  'sqrt'
verbose  0
max_leaf_nodes  None
warm_start  False
validation_fraction  0.1
n_iter_no_change  None
tol  0.0001
ccp_alpha  0.0
In [175]:
gb_cv.best_params_ ## Printing best parameters
Out[175]:
{'criterion': 'squared_error',
 'learning_rate': 0.06,
 'max_depth': 8,
 'max_features': 'sqrt',
 'n_estimators': 300,
 'subsample': 0.8}
In [178]:
gb1=GradientBoostingClassifier(criterion = 'squared_error',
 learning_rate = 0.06,
 max_depth = 8,
 max_features = 'sqrt',
 n_estimators = 300,
 subsample = 0.8)
gb1.fit(sm_x_train,sm_y_train)
Out[178]:
GradientBoostingClassifier(criterion='squared_error', learning_rate=0.06,
                           max_depth=8, max_features='sqrt', n_estimators=300,
                           subsample=0.8)
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Parameters
loss  'log_loss'
learning_rate  0.06
n_estimators  300
subsample  0.8
criterion  'squared_error'
min_samples_split  2
min_samples_leaf  1
min_weight_fraction_leaf  0.0
max_depth  8
min_impurity_decrease  0.0
init  None
random_state  None
max_features  'sqrt'
verbose  0
max_leaf_nodes  None
warm_start  False
validation_fraction  0.1
n_iter_no_change  None
tol  0.0001
ccp_alpha  0.0

Testing Accuracy After using its best parameters¶

In [181]:
y_gb1_pre=gb1.predict(x_test)
print(classification_report(y_test,y_gb1_pre))

              precision    recall  f1-score   support

           0       0.81      0.84      0.83        93
           1       0.25      0.22      0.23        23

    accuracy                           0.72       116
   macro avg       0.53      0.53      0.53       116
weighted avg       0.70      0.72      0.71       116

Training Accuracy After using its best parameters¶

In [184]:
y_gb1_predict=gb1.predict(x_train)
print(classification_report(y_train,y_gb1_predict))

              precision    recall  f1-score   support

           0       0.97      0.97      0.97       345
           1       0.90      0.90      0.90       115

    accuracy                           0.95       460
   macro avg       0.93      0.93      0.93       460
weighted avg       0.95      0.95      0.95       460
In [186]:
 ! pip install xgboost

Requirement already satisfied: xgboost in d:\users\excel\anaconda3\lib\site-packages (3.1.3)
Requirement already satisfied: numpy in d:\users\excel\anaconda3\lib\site-packages (from xgboost) (1.26.4)
Requirement already satisfied: scipy in d:\users\excel\anaconda3\lib\site-packages (from xgboost) (1.13.1)
In [188]:
from xgboost import XGBRFClassifier  # Import the Random Forest variant of XGBoost

xgb = XGBRFClassifier()  
# Create an instance of the XGBRFClassifier using default hyperparameters
# XGBRFClassifier builds a **Random Forest** using XGBoost's framework (not boosting like XGBClassifier)

xgb.fit(x_train, y_train)
Out[188]:
XGBRFClassifier(base_score=None, booster=None, callbacks=None,
                colsample_bylevel=None, colsample_bytree=None, device=None,
                early_stopping_rounds=None, enable_categorical=False,
                eval_metric=None, feature_types=None, feature_weights=None,
                gamma=None, grow_policy=None, importance_type=None,
                interaction_constraints=None, max_bin=None,
                max_cat_threshold=None, max_cat_to_onehot=None,
                max_delta_step=None, max_depth=None, max_leaves=None,
                min_child_weight=None, missing=nan, monotone_constraints=None,
                multi_strategy=None, n_estimators=None, n_jobs=None,
                num_parallel_tree=None, objective='binary:logistic',
                random_state=None, ...)
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Parameters
learning_rate  1.0
subsample  0.8
colsample_bynode  0.8
reg_lambda  1e-05
objective  'binary:logistic'
base_score  None
booster  None
callbacks  None
colsample_bylevel  None
colsample_bytree  None
device  None
early_stopping_rounds  None
enable_categorical  False
eval_metric  None
feature_types  None
feature_weights  None
gamma  None
grow_policy  None
importance_type  None
interaction_constraints  None
max_bin  None
max_cat_threshold  None
max_cat_to_onehot  None
max_delta_step  None
max_depth  None
max_leaves  None
min_child_weight  None
missing  nan
monotone_constraints  None
multi_strategy  None
n_estimators  None
n_jobs  None
num_parallel_tree  None
random_state  None
reg_alpha  None
sampling_method  None
scale_pos_weight  None
tree_method  None
validate_parameters  None
verbosity  None

Testing Accuracy¶

In [191]:
y_xgb_per=xgb.predict(x_test)
print(f'Testing Accuracy',classification_report(y_test,y_xgb_per))

Testing Accuracy               precision    recall  f1-score   support

           0       0.86      0.85      0.85        93
           1       0.42      0.43      0.43        23

    accuracy                           0.77       116
   macro avg       0.64      0.64      0.64       116
weighted avg       0.77      0.77      0.77       116

Tarining Accuracy¶

In [194]:
y_xgb_predict=xgb.predict(x_train)
print(f'Testing Accuracy',classification_report(y_train,y_xgb_predict))

Testing Accuracy               precision    recall  f1-score   support

           0       0.87      0.89      0.88       345
           1       0.64      0.61      0.62       115

    accuracy                           0.82       460
   macro avg       0.76      0.75      0.75       460
weighted avg       0.81      0.82      0.82       460
In [196]:
xgb_params = {
    'gamma': [0, 0.2, 1, 4],
    # Minimum loss reduction required to make a further partition on a leaf node.
    # Higher values make the algorithm more conservative.

    'learning_rate': [0.01, 0.03, 0.06, 0.1],
    # Step size shrinkage used to prevent overfitting.
    # Smaller values usually improve performance but require more trees.

    'max_depth': [5, 6, 7, 8, 9],
    # Maximum depth of a tree. Deeper trees capture more complexity but may overfit.

    'n_estimators': [50, 65, 80],
    # Number of boosting rounds (i.e., number of trees to build).

    'reg_alpha': [0, 0.1, 0.2, 0.4],
    # L1 regularization term on weights. Useful for feature selection.

    'reg_lambda': [0, 0.1, 0.2, 0.4]
    # L2 regularization term on weights. Helps reduce model complexity and overfitting.
}
In [198]:
xgb_cv=GridSearchCV(xgb,xgb_params,scoring='f1',verbose=3,cv=3,refit=True,n_jobs=1)
xgb_cv.fit(sm_x_train,sm_y_train)

Fitting 3 folds for each of 3840 candidates, totalling 11520 fits
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.491 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.719 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.728 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.727 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.500 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.517 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.725 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.482 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.517 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.760 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.593 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.556 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.585 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.575 total time=   0.1s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.733 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.556 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.550 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.746 total time=   0.3s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.783 total time=   0.3s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.613 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.778 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.563 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.563 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.566 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.566 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.727 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.601 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.748 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.763 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.634 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.622 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.623 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.620 total time=   0.2s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.627 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.623 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.603 total time=   0.1s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.627 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.491 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.719 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.728 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.727 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.500 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.517 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.725 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.742 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.482 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.517 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.760 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.593 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.556 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.585 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.733 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.748 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.556 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.550 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.613 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.778 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.563 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.563 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.566 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.566 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.727 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.601 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.786 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.763 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.634 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.622 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.623 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.627 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.759 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.623 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.627 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.491 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.719 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.728 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.727 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.500 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.517 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.725 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.715 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.482 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.517 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.760 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.593 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.556 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.585 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.733 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.562 total time=   0.1s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.556 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.550 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.613 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.778 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.747 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.579 total time=   0.1s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.563 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.563 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.747 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.566 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.566 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.727 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.777 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.601 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.759 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.769 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.763 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.634 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.622 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.623 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.597 total time=   0.1s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.627 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.623 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.568 total time=   0.1s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.627 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.491 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.719 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.728 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.727 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.500 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.517 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.745 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.725 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.482 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.517 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.1s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.760 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.593 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.764 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.556 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.585 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.575 total time=   0.1s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.733 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.774 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.556 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.550 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.742 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.613 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.778 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.563 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.747 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.563 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.783 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.566 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.566 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.727 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.601 total time=   0.1s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.755 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.747 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.786 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.763 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.770 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.634 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.622 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.623 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.627 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.1s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.623 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.1s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.627 total time=   0.0s
[CV 2/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=0, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.482 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.705 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.701 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.683 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.738 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.741 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.482 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.708 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.700 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.556 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.719 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.753 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.581 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.761 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.763 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.777 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.743 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.558 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.613 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.754 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.620 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.622 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.593 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.742 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.576 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.738 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.630 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.603 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.765 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.619 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.790 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.627 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.563 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.601 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.751 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.638 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.778 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.642 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.573 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.600 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.601 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.773 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.760 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.642 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.482 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.705 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.683 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.738 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.741 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.482 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.708 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.751 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.556 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.545 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.719 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.753 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.540 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.761 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.626 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.763 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.745 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.558 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.613 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.596 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.622 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.593 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.784 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.738 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.630 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.619 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.790 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.627 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.563 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.601 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.638 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.778 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.753 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.642 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.749 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.601 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.773 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.760 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.642 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.482 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.705 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.683 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.738 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.741 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.482 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.708 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.703 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.556 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.719 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.761 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.740 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.761 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.763 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.746 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.558 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.613 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.611 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.622 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.593 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.738 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.630 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.619 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.790 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.627 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.563 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.601 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.638 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.778 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.642 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.756 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.601 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.760 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.642 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.482 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.705 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.683 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.738 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.741 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.497 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.482 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.708 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.751 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.556 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.719 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.767 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.773 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.761 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.763 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.576 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.558 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.613 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.594 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.622 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.593 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.788 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.738 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.630 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.573 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.619 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.790 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.627 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.563 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.601 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.638 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.778 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.642 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.756 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.750 total time=   0.1s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.791 total time=   0.1s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.601 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.753 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.591 total time=   0.1s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.760 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.642 total time=   0.0s
[CV 2/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=0.2, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.727 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.476 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.711 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.517 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.467 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.500 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.725 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.476 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.741 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.738 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.617 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.621 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.727 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.1s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.551 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.724 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.587 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.725 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.628 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.729 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.768 total time=   0.2s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.779 total time=   0.1s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.631 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.768 total time=   0.1s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.660 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.727 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.576 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.641 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.616 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.782 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.641 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.733 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.721 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.782 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.618 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.663 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.638 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.702 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.778 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.639 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.606 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.708 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.622 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.631 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.623 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.705 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.712 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.727 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.476 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.711 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.517 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.467 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.500 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.739 total time=   0.1s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.725 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.476 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.488 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.741 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.579 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.738 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.617 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.621 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.727 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.551 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.724 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.725 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.628 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.729 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.754 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.631 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.598 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.660 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.727 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.641 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.782 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.744 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.641 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.733 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.782 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.618 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.1s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.663 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.638 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.702 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.778 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.771 total time=   0.1s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.639 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.708 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.622 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.631 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.623 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.705 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.727 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.476 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.711 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.517 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.467 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.500 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.725 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.476 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.520 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.741 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.738 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.617 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.621 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.727 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.551 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.724 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.725 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.628 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.579 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.729 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.631 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.660 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.727 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.779 total time=   0.1s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.641 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.782 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.776 total time=   0.1s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.641 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.733 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.782 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.618 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.586 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.663 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.638 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.702 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.778 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.608 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.639 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.708 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.622 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.754 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.631 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.591 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.623 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.705 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.730 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.727 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.476 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.711 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.517 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.467 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.500 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.733 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.731 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.725 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.476 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.720 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.750 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.740 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.734 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.697 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.737 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.741 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.579 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.714 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.738 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.617 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.602 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.758 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.742 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.621 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.753 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.727 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.758 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.551 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.754 total time=   0.1s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.557 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.760 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.724 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.761 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.717 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.759 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.762 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.751 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.725 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.628 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.729 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.758 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.722 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.599 total time=   0.1s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.759 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.568 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.734 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.631 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.732 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.765 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.791 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.764 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.620 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.660 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.770 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.727 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.766 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.751 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.763 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.786 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.767 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.748 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.641 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.741 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.731 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.740 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.616 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.782 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.776 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.594 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.744 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.612 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.641 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.784 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.723 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.733 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.782 total time=   0.1s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.618 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.773 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.599 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.607 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.611 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.765 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.624 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.762 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.735 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.598 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.742 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.604 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.663 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.739 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.638 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.737 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.768 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.626 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.767 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.702 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.778 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.603 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.583 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.589 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.777 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.597 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.771 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.639 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.746 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.730 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.615 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.743 total time=   0.1s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.726 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.606 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.708 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.580 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.757 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.588 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.622 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.752 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.772 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.750 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.774 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.755 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.596 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.745 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.783 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.749 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.600 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.769 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.754 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.608 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.747 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.631 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.740 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.591 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.775 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.736 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.592 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.781 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.743 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.576 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.779 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.623 total time=   0.0s
[CV 2/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.764 total time=   0.0s
[CV 3/3] END gamma=1, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.705 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.689 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.699 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.692 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.1s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.693 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.551 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.725 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.696 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.707 total time=   0.1s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.681 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.523 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.699 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.544 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.547 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.675 total time=   0.1s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.551 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.684 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.1s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.687 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.01, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.690 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.689 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.699 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.692 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.670 total time=   0.1s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.693 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.551 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.725 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.1s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.696 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.681 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.523 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.699 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.544 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.547 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.1s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.701 total time=   0.1s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.551 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.684 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.687 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.03, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.690 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.689 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.699 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.692 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.1s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.693 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.551 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.725 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.696 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.681 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.523 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.699 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.544 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.547 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.551 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.684 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.582 total time=   0.1s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.687 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.06, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.690 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.700 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.485 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.689 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.479 total time=   0.1s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.470 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.479 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.699 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=5, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.692 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.695 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.488 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.494 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.497 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.503 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=6, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.693 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.721 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.512 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.703 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.646 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.551 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.725 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.565 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.696 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.529 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.529 total time=   0.1s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.681 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.523 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.699 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=7, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.544 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.547 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.534 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.709 total time=   0.1s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.709 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.581 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.584 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.520 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.545 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=8, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.564 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.575 total time=   0.1s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.1;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.539 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.506 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.560 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.1, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.542 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.652 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.1;, score=0.715 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.549 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.554 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.551 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0;, score=0.706 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.2;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=50, reg_alpha=0.4, reg_lambda=0.4;, score=0.684 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.678 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.605 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.587 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0, reg_lambda=0.4;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0;, score=0.716 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.610 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.575 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.1;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.552 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.2, reg_lambda=0.4;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.559 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.1;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.567 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.655 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=65, reg_alpha=0.4, reg_lambda=0.4;, score=0.687 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.579 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.667 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.1;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.586 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.2;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0, reg_lambda=0.4;, score=0.701 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.578 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.672 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0;, score=0.712 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.515 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.675 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.1;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.595 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.2;, score=0.704 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.582 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.1, reg_lambda=0.4;, score=0.710 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.532 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.540 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.658 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.1;, score=0.718 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.571 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.670 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.2;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.573 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.2, reg_lambda=0.4;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.537 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.649 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.590 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.1;, score=0.698 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.570 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.661 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.2;, score=0.707 total time=   0.0s
[CV 1/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.562 total time=   0.0s
[CV 2/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.664 total time=   0.0s
[CV 3/3] END gamma=4, learning_rate=0.1, max_depth=9, n_estimators=80, reg_alpha=0.4, reg_lambda=0.4;, score=0.690 total time=   0.0s
Out[198]:
GridSearchCV(cv=3,
             estimator=XGBRFClassifier(base_score=None, booster=None,
                                       callbacks=None, colsample_bylevel=None,
                                       colsample_bytree=None, device=None,
                                       early_stopping_rounds=None,
                                       enable_categorical=False,
                                       eval_metric=None, feature_types=None,
                                       feature_weights=None, gamma=None,
                                       grow_policy=None, importance_type=None,
                                       interaction_constraints=None,
                                       max_bin=None, max_c...
                                       missing=nan, monotone_constraints=None,
                                       multi_strategy=None, n_estimators=None,
                                       n_jobs=None, num_parallel_tree=None,
                                       objective='binary:logistic',
                                       random_state=None, ...),
             n_jobs=1,
             param_grid={'gamma': [0, 0.2, 1, 4],
                         'learning_rate': [0.01, 0.03, 0.06, 0.1],
                         'max_depth': [5, 6, 7, 8, 9],
                         'n_estimators': [50, 65, 80],
                         'reg_alpha': [0, 0.1, 0.2, 0.4],
                         'reg_lambda': [0, 0.1, 0.2, 0.4]},
             scoring='f1', verbose=3)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
Parameters
estimator  XGBRFClassifi...ate=None, ...)
param_grid  {'gamma': [0, 0.2, ...], 'learning_rate': [0.01, 0.03, ...], 'max_depth': [5, 6, ...], 'n_estimators': [50, 65, ...], ...}
scoring  'f1'
n_jobs  1
refit  True
cv  3
verbose  3
pre_dispatch  '2*n_jobs'
error_score  nan
return_train_score  False 
XGBRFClassifier(base_score=None, booster=None, callbacks=None,
                colsample_bylevel=None, colsample_bytree=None, device=None,
                early_stopping_rounds=None, enable_categorical=False,
                eval_metric=None, feature_types=None, feature_weights=None,
                gamma=1, grow_policy=None, importance_type=None,
                interaction_constraints=None, learning_rate=0.01, max_bin=None,
                max_cat_threshold=None, max_cat_to_onehot=None,
                max_delta_step=None, max_depth=9, max_leaves=None,
                min_child_weight=None, missing=nan, monotone_constraints=None,
                multi_strategy=None, n_estimators=50, n_jobs=None,
                num_parallel_tree=None, objective='binary:logistic', ...)
Parameters
learning_rate  0.01
subsample  0.8
colsample_bynode  0.8
reg_lambda  0.4
objective  'binary:logistic'
base_score  None
booster  None
callbacks  None
colsample_bylevel  None
colsample_bytree  None
device  None
early_stopping_rounds  None
enable_categorical  False
eval_metric  None
feature_types  None
feature_weights  None
gamma  1
grow_policy  None
importance_type  None
interaction_constraints  None
max_bin  None
max_cat_threshold  None
max_cat_to_onehot  None
max_delta_step  None
max_depth  9
max_leaves  None
min_child_weight  None
missing  nan
monotone_constraints  None
multi_strategy  None
n_estimators  50
n_jobs  None
num_parallel_tree  None
random_state  None
reg_alpha  0.2
sampling_method  None
scale_pos_weight  None
tree_method  None
validate_parameters  None
verbosity  None
In [200]:
xgb_cv.best_params_ ## Printing Its best Parameters
Out[200]:
{'gamma': 1,
 'learning_rate': 0.01,
 'max_depth': 9,
 'n_estimators': 50,
 'reg_alpha': 0.2,
 'reg_lambda': 0.4}
In [202]:
xgb1=XGBRFClassifier(gamma= 1,
 learning = 0.01,
 max_depth = 9,
 n_estimators= 50,
 reg_alpha= 0.2,
 reg_lambda= 0.4)
In [204]:
xgb1.fit(sm_x_train,sm_y_train)
Out[204]:
XGBRFClassifier(base_score=None, booster=None, callbacks=None,
                colsample_bylevel=None, colsample_bytree=None, device=None,
                early_stopping_rounds=None, enable_categorical=False,
                eval_metric=None, feature_types=None, feature_weights=None,
                gamma=1, grow_policy=None, importance_type=None,
                interaction_constraints=None, learning=0.01, max_bin=None,
                max_cat_threshold=None, max_cat_to_onehot=None,
                max_delta_step=None, max_depth=9, max_leaves=None,
                min_child_weight=None, missing=nan, monotone_constraints=None,
                multi_strategy=None, n_estimators=50, n_jobs=None,
                num_parallel_tree=None, objective='binary:logistic', ...)
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On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
Parameters
learning_rate  1.0
subsample  0.8
colsample_bynode  0.8
reg_lambda  0.4
objective  'binary:logistic'
base_score  None
booster  None
callbacks  None
colsample_bylevel  None
colsample_bytree  None
device  None
early_stopping_rounds  None
enable_categorical  False
eval_metric  None
feature_types  None
feature_weights  None
gamma  1
grow_policy  None
importance_type  None
interaction_constraints  None
max_bin  None
max_cat_threshold  None
max_cat_to_onehot  None
max_delta_step  None
max_depth  9
max_leaves  None
min_child_weight  None
missing  nan
monotone_constraints  None
multi_strategy  None
n_estimators  50
n_jobs  None
num_parallel_tree  None
random_state  None
reg_alpha  0.2
sampling_method  None
scale_pos_weight  None
tree_method  None
validate_parameters  None
verbosity  None
learning  0.01

Testing Accuracy After using its best parameters¶

In [207]:
y_xgb1_per = xgb1.predict(x_test)  
print(f'Testing Accuracy', classification_report(y_test, y_xgb1_per))  

Testing Accuracy               precision    recall  f1-score   support

           0       0.87      0.72      0.79        93
           1       0.33      0.57      0.42        23

    accuracy                           0.69       116
   macro avg       0.60      0.64      0.60       116
weighted avg       0.76      0.69      0.72       116

Tarining Accuracy After using its best parameters¶

In [210]:
y_xgb1_predict = xgb1.predict(x_train)  
print(f'Testing Accuracy', classification_report(y_train, y_xgb1_predict))  

Testing Accuracy               precision    recall  f1-score   support

           0       0.92      0.84      0.88       345
           1       0.62      0.77      0.69       115

    accuracy                           0.82       460
   macro avg       0.77      0.81      0.78       460
weighted avg       0.84      0.82      0.83       460

Final Model Performance Conclusion¶

We trained and tested several machine learning models to classify the data and compared their performance before and after hyperparameter tuning.

Before Hyperparameter Tuning:¶

  • Logistic Regression showed low accuracy (61% test, 60% train), indicating it was not suitable for this problem.
  • SVM performed moderately well (70% test, 74% train) with balanced results.
  • Decision Tree showed high training accuracy (95%) but lower testing accuracy (65%), suggesting overfitting.
  • Random Forest performed better with 74% test accuracy, with 95% train accuracy**, showing strong capability.
  • Gradient Boosting showed high training accuracy (83%) but lower testing accuracy (70%),
  • XGBClassifier had the best test accuracy of 77%, with a good training score.

After Hyperparameter Tuning:¶

  • SVM accuracy dropped to 61%, suggesting tuning was not effective here.
  • Decision Tree improved in generalization but still had some overfitting (70% test / 77% train).
  • Random Forest showed improved balance (72% test / 88% train), making it more reliable.
  • Gradient Boosting slightly dropped in testing accuracy (72%),training accuracy (95%) but remained powerful.
  • XGBClassifier stayed strong with 69% test accuracy and good training performance (82%).

Final Conclusion:¶

  • Random Forest and XGBClassifier also performed consistently well, especially after hyperparameter tuning.

  • Random Forest is a great choice for its simplicity, stability, and performance.

  • Recommended Final Model : Random Forest

In [ ]: